Regression Analysis Free Essays

Quantitative Methods Project Regression Analysis for the pricing of players in the Indian Premier League Executive Summary The selling price of players at IPL auction is affected by more than one factor. Most of these factors affect each other and still others impact the selling price only indirectly. The challenge of performing a multiple regression analysis on more than 25 independent variables where a clear relationship cannot be obtained is to form the regression model as carefully as possible. We will write a custom essay sample on Regression Analysis or any similar topic only for you Order Now Of the various factors available we have leveraged SPSS software for running our regression analysis. One of the reasons for preferring SPSS over others was the ease with which we can eliminate extraneous independent variables. The two methodologies used for choosing the best model in this project are: * Forward Model Building: Independent variables in order of their significance are incrementally added to the model till we achieve the optimum model. * Backward Elimination: The complete set of independent variables is regressed and the least significant predictors are eliminated in order to arrive at the optimum model. Our analysis has shown that the following variables are the most significant predictors of the selling price: COUNTRY : whether the player is of Indian origin or not AGE_1 : whether the player is below 25 years or not T_RUNS : total number of test runs scored by the player ODI_RUNS : total number of runs scored in ODI matches ODI_WICKET : total number of wickets taken by the player RUNS_S : total number of runs scored by the player BASE_PRICE : the base price of the player set in IPL Using the calculated coefficients the regression model equation can be stated as below: SOLD PRICE = -13366. 247 + 219850. 349(COUNTRY) + 204492. 531(AGE_1) -59. 957 (T_RUNS) + 53. 878 (ODI_RUNS) + 491. 636 (ODI_WICKET) + 194. 445(RUNS_S )+ 1. 442(BASE_PRICE) Analysis of Results * Following is a snapshot of the estimated best regression model ( explained in depth as part of answer to Q no 1) Model Summary| Model| R| R Square| Adjusted R Square| Std. Error of the Estimate| 1| . 772a| . 597| . 573| 265690. 463| a. Predictors: (Constant), BASE_PRICE, AGE_1, RUNS_S, ODI_WICKET, COUNTRY, T_RUNS, ODI_RUNS| From the regression model we have estimated BASE_PRICE is found to be the highest impact predictor. This implies that more than anything else the benchmark base price of a player is the single strongest determinant of the selling price of the player. * The analysis shows that T_RUNS, i. e. amount of runs scored in test matches negatively impacts the selling price of the player. It is sur prising though not unexpected to find that superior performance by a batsman in test matches reduces his worth in IPL auctions. The positive correlation between AGE_1 and selling price indicates that the younger a player the higher is his expected compensation. * Players from India are expected to command much higher bids than their foreign counterparts, as evidenced by the positive coefficient of COUNTRY. * Another observation is that the total amount of runs scored by a player positively impacts his selling price. * The R Square value of the model comes out to be 0. 597 (and the adjusted R Square value is 0. 573). This small value of R Square indicates that our regression model has limitations. The standard error of the estimate is found to be large and equal to 265690. 463. Q3 What is the impact of ability to score â€Å"SIXERS† on the player’s price? In order to analyze the impact of the variable â€Å"SIXERS†, we add it in the regression model and then we o bserve that the probability of T statistics for SIXERS is 0. 862 and the value of RUNS_S is 0. 0504 which makes it in the rejection region. So this means that the impact of this variable has already been covered in the RUNS_S variable and hence adding this variable for regression is not a good idea. Model Summary| Model| R| R Square| Adjusted R Square| Std. Error of the Estimate| 1| . 772a| . 597| . 570| 266752. 420| a. Predictors: (Constant), SIXERS, AGE_1, ODI_WICKET, BASE_PRICE, COUNTRY, T_RUNS, RUNS_S, ODI_RUNS| ANOVAb| Model| Sum of Squares| df| Mean Square| F| Sig. | 1| Regression| 1. 274E13| 8| 1. 592E12| 22. 378| . 000a| | Residual| 8. 610E12| 121| 7. 116E10| | | | Total| 2. 135E13| 129| | | | a. Predictors: (Constant), SIXERS, AGE_1, ODI_WICKET, BASE_PRICE, COUNTRY, T_RUNS, RUNS_S, ODI_RUNS| b. Dependent Variable: SOLD_PRICE| | | | Coefficientsa| Model| Unstandardized Coefficients| Standardized Coefficients| t| Sig. | 95% Confidence Interval for B| | B| Std. Error| Beta| | | Lower Bound| Upper Bound| 1| (Constant)| -13757. 183| 49696. 116| | -. 277| . 782| -112143. 752| 84629. 386| | COUNTRY| 221562. 322| 54461. 595| . 269| 4. 068| . 000| 113741. 230| 329383. 414| | AGE_1| 203637. 395| 77003. 067| . 165| 2. 645| . 009| 51189. 514| 356085. 275| | T_RUNS| -58. 977| 17. 455| -. 479| -3. 379| . 001| -93. 533| -24. 421| | ODI_RUNS| 53. 455| 16. 302| . 471| 3. 79| . 001| 21. 182| 85. 728| | ODI_WICKET| 490. 322| 227. 281| . 134| 2. 157| . 033| 40. 358| 940. 286| | RUNS_S| 180. 730| 92. 993| . 273| 1. 943| . 054| -3. 373| 364. 834| | BASE_PRICE| 1. 437| . 177| . 541| 8. 112| . 000| 1. 087| 1. 788| | SIXERS| 379. 400| 2170. 467| . 022| . 175| . 862| -3917. 611| 4676. 411| a. Dependent Variable: SOLD_PRICE| | | | | | Q 4 What is the impact of the predictors’ batting strike rate and bowling strike rate on pricing? Identify the predictor that has the highest impact on the price of players. In order to analyze the impact of the predictors’ batting strike rate and bowling strike rate on pricing , we first added only these two independent variables in the regression model and observed that the R Square value comes out to be too low . 051. Hence there is no regression relationship between the independent variables and the dependent variable ‘SOLD PRICE’. Model Summary| Model| R| R Square| Adjusted R Square| Std. Error of the Estimate| 1| . 226a| . 051| . 036| 399371. 359| a. Predictors: (Constant), SR_BL, SR_B| | ANOVAb| Model| Sum of Squares| df| Mean Square| F| Sig. | 1| Regression| 1. 092E12| 2| 5. 462E11| 3. 424| . 036a| | Residual| 2. 026E13| 127| 1. 595E11| | | | Total| 2. 135E13| 129| | | | a. Predictors: (Constant), SR_BL, SR_B| | | | b. Dependent Variable: SOLD_PRICE| | | | Coefficientsa| Model| Unstandardized Coefficients| Standardized Coefficients| t| Sig. | 95% Confidence Interval for B| | B| Std. Error| Beta| | | Lower Bound| Upper Bound| 1| (Constant)| 217351. 463| 123693. 460| | 1. 757| . 081| -27415. 572| 462118. 497| | SR_B| 2188. 101| 980. 961| . 93| 2. 231| . 027| 246. 955| 4129. 246| | SR_BL| 3502. 089| 2307. 595| . 131| 1. 518| . 132| -1064. 224| 8068. 402| a. Dependent Variable: SOLD_PRICE| | | | | | Now we added the two independent variables of batting strike rate and bowling strike rate along with the previous list of independent variables in the regression model and observed that the probability of t statistic for the two independent variables of batting strike rate and bowli ng strike rate is found to be . 958 and . 935 respectively which means it falls in the rejection region. Hence we can conclude that these two variables do not have any regression relationship with the independent variable. Model Summary| Model| R| R Square| Adjusted R Square| Std. Error of the Estimate| 1| . 772a| . 597| . 566| 267884. 659| a. Predictors: (Constant), BASE_PRICE, SR_BL, SR_B, COUNTRY, ODI_WICKET, AGE_1, ODI_RUNS, RUNS_S, T_RUNS| ANOVAb| Model| Sum of Squares| df| Mean Square| F| Sig. | 1| Regression| 1. 274E13| 9| 1. 415E12| 19. 721| . 000a| | Residual| 8. 611E12| 120| 7. 176E10| | | | Total| 2. 135E13| 129| | | | a. Predictors: (Constant), BASE_PRICE, SR_BL, SR_B, COUNTRY, ODI_WICKET, AGE_1, ODI_RUNS, RUNS_S, T_RUNS| b. Dependent Variable: SOLD_PRICE| | | | Coefficientsa| Model| Unstandardized Coefficients| Standardized Coefficients| t| Sig. | 95% Confidence Interval for B| | B| Std. Error| Beta| | | Lower Bound| Upper Bound| 1| (Constant)| -15451. 294| 92855. 275| | -. 166| . 868| -199298. 275| 168395. 688| | SR_B| 38. 111| 729. 828| . 003| . 052| . 958| -1406. 897| 1483. 119| | SR_BL| -149. 541| 1819. 943| -. 006| -. 082| . 935| -3752. 901| 3453. 819| | AGE_1| 207089. 34| 81757. 329| . 168| 2. 533| . 013| 45215. 512| 368963. 155| | COUNTRY| 220464. 530| 54256. 883| . 267| 4. 063| . 000| 113039. 678| 327889. 382| | T_RUNS| -60. 151| 17. 118| -. 489| -3. 514| . 001| -94. 044| -26. 258| | ODI_RUNS| 53. 932| 16. 258| . 475| 3. 317| . 001| 21. 742| 86. 122| | ODI_WICKET| 497. 937| 240. 782| . 136| 2. 068| . 041| 21. 206| 974. 668| | RUNS_S| 193. 412| 53. 528| . 293| 3. 613| . 000| 87. 430| 299. 393 | | BASE_PRICE| 1. 443| . 178| . 543| 8. 101| . 000| 1. 090| 1. 795| a. Dependent Variable: SOLD_PRICE| | | | | | Referring to the regression model data outcome as given in Q1 we can see that the Standardized coefficient value for the BASE_PRICE is the highest which is . 543 and hence we can conclude that the BASE_PRICE is the predictor which has the highest impact on the price of players. Q 8 How much should Mumbai Indians offer Sachin Tendulkar if they would like to retain him? Is the model sufficient to predict the price of Icon players? SOLD PRICE = -13366. 247 + 219850. 349(COUNTRY) + 204492. 531(AGE_1) -59. 957 (T_RUNS) + 53. 878 (ODI_RUNS) + 491. 636 (ODI_WICKET) How to cite Regression Analysis, Essay examples Regression Analysis Free Essays REGRESSION ANALYSIS Correlation only indicates the degree and direction of relationship between two variables. It does not, necessarily connote a cause-effect relationship. Even when there are grounds to believe the causal relationship exits, correlation does not tell us which variable is the cause and which, the effect. We will write a custom essay sample on Regression Analysis or any similar topic only for you Order Now For example, the demand for a commodity and its price will generally be found to be correlated, but the question whether demand depends on price or vice-versa; will not be answered by correlation. The dictionary meaning of the ‘regression’ is the act of the returning or going back. The term ‘regression’ was first used by Francis Galton in 1877 while studying the relationship between the heights of fathers and sons. â€Å"Regression is the measure of the average relationship between two or more variables in terms of the original units of data. † The line of regression is the line, which gives the best estimate to the values of one variable for any specific values of other variables. For two variables on regression analysis, there are two regression lines. One line as the regression of x on y and other is for regression of y on x. These two regression line show the average relationship between the two variables. The regression line of y on x gives the most probable value of y for given value of x and the regression line of x and y gives the most probable values of x for the given value of y. For perfect correlation, positive or negative i. e. for r=  ±, the two lines coincide i. e. we will find only one straight line. If r=0, i. e. both the variance are independent then the two lines will cut each other at a right angle. In this case the two lines will be  ¦to x and y axis. The Graph is given below:- We restrict our discussion to linear relationships only that is the equations to be considered are 1- y=a+bx – x=a+by In equation first x is called the independent variable and y the dependent variable. Conditional on the x value, the equations gives the variation of y. In other words ,it means that corresponding to each value of x ,there is whole conditional probability distribution of y. Similar discussion holds for the equation second, where y acts as independent variable and x as dependent variable. What purpose does regression line serve? 1- The first object is to estimate the dependent variable from known values of independent variable. This is possible from regression line. – The next objective is to obtain a measure of the error involved in using regression line for estimation. 3- With the help of regression coefficients we can calculate the correlation coefficient. The square of correlation coefficient (r), is called coefficient of determination, measure the degree of association of correlation that exits between two variables. What is the difference between correlation and linear regression? Correlation and linear regression are not the same. Consider these differences: †¢ Correlation quantifies the degree to which two variables are related. Correlation does not find  a best-fit line (that is regression). You simply are computing a correlation coefficient (r) that tells you how much one variable tends to change when the other one does. †¢ With correlation you don’t have to think about cause and effect. You simply quantify how well two variables relate to each other. With regression, you do have to think about cause and effect as the regression line is determined as the best way to predict Y from X. †¢ With correlation,  it doesn’t matter which of the two variables you call â€Å"X† and which you call â€Å"Y†. You’ll get the same correlation coefficient if you swap the two. With linear regression, the decision of which variable you call â€Å"X† and which you call â€Å"Y† matters a lot, as you’ll get a different best-fit line if you swap the two. The line that best predicts Y from X is not the same as the line that predicts X from Y. †¢ Correlation is almost always used when you measure both variables. It rarely is appropriate when one variable is something you experimentally manipulate. With linear regression, the X variable is often something you experimental manipulate (time, concentration†¦ and the Y variable is something you measure. Regression analysis is widely used for  prediction  (including  forecasting  of  time-series  data). Use of regression analysis for prediction has substantial overlap with the field of  machine learning. Regression analysis is also used to understand which among the independent variables are related to the dependent variable, and to explore the forms of these relationships. In restricted circumstances, regression analysis can be used to infer  causal relationships  between the independent and dependent variables. A large body of techniques for carrying out regression analysis has been developed. Familiar methods such as  linear regression  and  ordinary least squares  regression are  parametric, in that the regression function is defined in terms of a finite number of unknown  parameters  that are estimated from the  data. Nonparametric regression  refers to techniques that allow the regression function to lie in a specified set of  functions, which may beinfinite-dimensional. The performance of regression analysis methods in practice depends on the form of the data-generating process, and how it relates to the regression approach being used. Since the true form of the data-generating process is not known, regression analysis depends to some extent on making assumptions about this process. These assumptions are sometimes (but not always) testable if a large amount of data is available. Regression models for prediction are often useful even when the assumptions are moderately violated, although they may not perform optimally. However when carrying out  inference  using regression models, especially involving small  effects  or questions of  causality  based on  observational data, regression methods must be used cautiously as they can easily give misleading results. Underlying assumptions Classical assumptions for regression analysis include: ? The sample must be representative of the population for the inference prediction. ? The error is assumed to be a  random variable  with a mean of zero conditional on the explanatory variables. ? The variables are error-free. If this is not so, modeling may be done using  errors-in-variables model  techniques. ? The predictors must be  linearly independent, i. e. it must not be possible to express any predictor as a linear combination of the others. SeeMulticollinearity. The errors are  uncorrelated, that is, the  variance-covariance matrix  of the errors is  diagonal  and each non-zero element is the variance of the error. ? The variance of the error is constant across observations (homoscedasticity). If not,  weighted least squares  or other methods might be used. These are sufficient (but not all necessary) conditions for the least-squares estimator to possess desirable propertie s, in particular, these assumptions imply that the parameter estimates will be  unbiased,  consistent, and  efficient  in the class of linear unbiased estimators. Many of these assumptions may be relaxed in more advanced treatments. Basic Formula of Regression Analysis:- X=a+by (Regression line x on y) Y=a+bx (Regression line y on x) 1st – Regression equation of x on y:- 2nd – Regression equation of y on x:- Regression Coefficient:- Case 1st – when x on y means regression coefficient is ‘bxy’ Case 2nd – when y on x means regression coefficient is ‘byx’ Least Square Estimation:- The main object of constructing statistical relationship is to predict or explain the effects on one dependent variable resulting from changes in one or more explanatory variables. Under the least square criteria, the line of best fit is said to be that which minimizes the sum of the squared residuals between the points of the graph and the points of straight line. The least squares method is the most widely used procedure for developing estimates of the model parameters. The graph of the estimated regression equation for simple linear regression is a straight line approximation to the relationship between y and x. When regression equations obtained directly that is without taking deviation from actual or assumed mean then the two Normal equations are to be solved simultaneously as follows; For Regression Equation of x on y i. e. x=a+by The two Normal Equations are:- For Regression Equation of y on x i. e. y=a+bx The two Normal Equations are:- Remarks:- 1- It may be noted that both the regression coefficient ( x on y means bxy and y on x means byx ) cannot exceed 1. 2- Both the regression coefficient shall either be positive + or negative -. 3- Correlation coefficient (r) will have same sign as that of regression coefficient. How to cite Regression Analysis, Papers

Ancient Art Of Parenthood Essay Example For Students

Ancient Art Of Parenthood Essay Children walk home from school every day and never realize what lurks beyond their protected space Miller 105. In todays world the acceptance of latch key children should not be tolerated. Unfortunately, our society condones such behavior from the adults. As a result, these children wear a chain around their neck with a house key attached, in order to enter into their home. As the youngsters leave school, they enter a silent world Kay 94. To illustrate, children enter into an empty house which has been abandoned since breakfast that morning. Therefore, television when turned on, replaces the absence of their parents. At this time, children experience serious conditions which they may not be able to handle Gaines 94. For example, they encounter the introduction of smoking a cigarette, drinking alcohol, and using harmful illegal drugs. Also, children are exposed to more violent crimes which usually happen in the first 60 minutes after school. Consequently, some children walk home, through undesirable areas where they may see someone being killed right in front of them. Therefore, alone and unsupervised, the youngsters make their own food while waiting for their parents to return home from work Brazelton 44. The art of parenthood has diminished, like an extinct animal which could be reinstated into the family unit; especially when parents need to teach and nurture their offspring, detour their young ones from negative peer pressure, and, work within a financial budget. Parents bring children into the world to educate these individuals on how to care for themselves Braverman. However, children become influenced by their friends especially when spending money is involved Krol 16 . Ultimately, they make decisions on the purchase of their clothing, the music they listen to, and even the movies they watch, all based on their friends opinion. On the other hand, young people realize how their parents have many years of experience in the area of spending money. Therefore, they listen to the advice from their parents on the dealings of financial matters. However, young people have always faced heavy financial demands as they reach maturity Blankstein 133. The difference today is the sheer diversity of the choices, few of them inexpensive. Therefore, they should become skilled and well educated in money management J. L. 48. In addition, parents teach their young to eat the right meals, to absorb enough sleep, and to do their best in school. Also, as children reach the age of eight years old, their strict discipline and respect for elders should have already been implanted by their parents Ogle. Eventually, these young people acquire jobs to obtain a true sense of responsibility of work ethics and the supreme independence from parents. Ultimately, the sheer existence of children blueprinted by their parents creates vibrant individuals who can master the world. For instance, young people know how to respond in case of fire or electrical emergencies. Also, they understand the techniques of first aid and how to get help fast. Again, young people earn money from part time employment which is combined with the allowance from parents. Therefore, their income per week could be drastically increased by a substantial amount Fischer 51. Consequently, children can benefit financially by being creative with their free time Briles 108. For instance, young people project enthusiasm toward part time employment especially when the work creates lively activity. Even though parents try to guide their off spring right, there may be an unplanned development to reroute these individuals in another direction. While on the other hand, young people should be accountable for their misbehavior. Young people strive hard at school to achieve acceptance among their friends Warburton. To illustrate, students pride themselves on having many friends, even if they introduce harmful habits. In addition, peer pressure explodes dramatically with socializing in school and being accepted in certain groups, especially during their adolescent years Ignatz. How Does Gatsby Represent The American Dream EssayGranted, single parents work all day, feeling guilty that their youngsters must stay at day care facilities. Eventually, the children adapt to these routine situations of being in a day care and continue with their daily lives. Customarily, children stay in these facilities more often than usual because parents tend to leave them there in order to take care of other business. In any case, children should not be sacrificed for money Daniels 318. Therefore, parents should learn to live within their financial budget. Parenthood should take precedence in todays society Flohr, J.. Ultimately, parents instill the basics of life into their children. Creatively, children draw images from their parents, which determines their unique individual styles and personalities. Finally, these children will address the world with self confidence and security which strengthens the human race. Therefore, parents must take responsibility of the human life which they have brought into the world. Equally important, they ought to focus more on their children, not the money they can make at work Pardue. After all, children discover the world through their parents Lentze. For example, children watch their parents take pride in their personal belongings. Then, as the children mature and become young adults they tend to take great pride in their own possessions, especially when the parents take the children on several different excursions Morin. Ultimately, when youngsters are introduced to new and exciting areas, such as going to the local zoo, being exposed to the public library, and attending a school play, the door to their world opens with imagination, which can be compared to a trip to Disneyland. Furthermore, the prices of these excursions run far less expensive than the purchase of extravagant toys for the family. After a while, the toys lose their novelty, then they are discarded, literally tossed aside for a new toy. If children had the power to decide, which they would prefer would their decision be parents over money rather than money over parents. In conclusion, children need the appropriate guidance from their parents and the day-to-day interaction with at least just one.

5 Keys to Choosing Your Future College

Now that application season is coming to a close, it’s important to start thinking about the next step in the process: final decisions. Choosing where to go to college, on occasion, can be really easy. Dream school? It’s a done deal. But more often than not, graduating seniors are faced with difficult decisions between colleges of similar caliber, or between colleges that have very different resources to offer. Getting straight to it, here are a few factors (besides the typical ones) to consider when you try to choose the right college for you:Culture This is a major one, and it’s important to extend this consideration to both school culture and the environment of the surrounding area. How cutthroat is the academic environment? How spirited is the student body? Try to find a campus vibe that you will not only thrive in academically, but also enjoy immensely. Make yourself happy and feel at home while you do. Weather It seems trivial, but weather actually has the potential to really affect your lifestyle. Especially if weather is something that tends to significantly impact your mood, you might want to consider staying away from the midwest and northeast. If you love unpredictability and four legitimate seasons, then the southwest will not be the best pick. Weather isn’t a make-or-break factor on its own, but it is definitely something to think about. Flexibility Even if you’re walking into college dead set on becoming a doctor, you never know what can happen - plans change all the time. Ideally, you want to keep your options open. Research ease of changing majors and tracks within the schools you are considering, and also keep an eye open for strength of departments. For most students, it’s important to have as flexible, versatile, and well-rounded an institution as possible, just in case you change your mind. If you truly are 1,000% sure of your decision, follow the academic path that’s best for you. Course Credit A small (yet practical) consideration is the number of units you can obtain and introductory courses you can skip using your AP and IB tests, community college courses, etc. Especially if course credit makes a difference in the number of years it will take you to graduate, you’ll leap ahead of the crowd and make your way more quickly into your career. However, if you deeply value the full undergraduate experience or don’t mind taking your time to explore and enjoy, perhaps put this one on the back burner and ponder other factors. Intuition Let’s say your list of pros and cons winds up even, your general 4-year plans at each school seem completely equal in value, and you’re just plain stumped. Try the old tactic: flip a coin. If you’re disappointed with the result, you’ll know you prefer another school. And if not, then you’ve got your winner. Maybe letting your entire future ride on a mere coin flip is a bit extreme, but nonetheless, don’t underestimate your own instinct - sometimes, one school simply feels right, while another does not. College students, how did you choose your school? Let us know in the comments below, and sign up for a chance to win our $1,000 scholarship! If youre still applying, see profiles from students who got into your dream school. Find out how you can too!

Stress Management.

Stress Management. What is stress? Well, there are many kinds of stresses. There is the negative effect pollution has on the ecosystem. There is seismic stress, which is tension on fault lines resulting in earthquakes. But kind of stress we are going to be focusing on is the psychological and physiological aspects of stress. Stress is the uncomfortable feeling you have after a hectic day and it doesn't end there. You have to compete with all the careless drivers on the freeway. Stress can also be described as a way the body and mind deals with multiple tasks at once. Most people are able to cope with everyday stress. But most find it difficult to control it when problems start to escalate faster than they could be solved. The Department of Health considers stress to me a mental health issue because if left untreated in extreme cases, it could make you very sick physically and mentally.Brain cell(s)I like the way Hans Selye categorized stress. Hans Selye was a Canadian scientist in 1926 that pioneered i n stress research. He began investigating the effects stress has on the body. He noticed that people showed characteristics of fatigue and discomfort following either a physical or an emotional stress. So, he categorized the response to stress in three stages. The first stage he called "the alarm reaction". The alarm reaction stage is associated with the secretion of epinephrine or (adrenalin) secreted from the adrenal glands. It involves complex physiological mechanisms that increase general alertness to prepare you to either deal with a stressful situation or to flee from it. During the alarm reaction stage pulse and respiratory rates speed up and blood pressure rises.The second being "the resistance stage", the pituitary gland produces hormonal and neural changes throughout the body until the stressful has passed.

REDUCING HIV RISK AMONG YOUNG MINORITY WOMEN & A HEALTH CARE TEAM Research Paper

REDUCING HIV RISK AMONG YOUNG MINORITY WOMEN & A HEALTH CARE TEAM HELPS REDUCE HIGH BLOOD PRESSURE AMONG INNER-CITY BLACK MEN - Research Paper Example Dr. Martha developed a program that provided free health facilities to black men diagnosed with High Blood Pressure in the inner-city. In his analysis, a group of 300 black men recruited for the experiment indicated that one out of five had accomplished adequate blood pressure control. Human immune deficiency virus is another deadly disease that can be controlled through a change in attitude. The virus is spread through heterosexual activity. The theory to the control of a spread in the virus is, ‘The key to defeating HIV lies with protection’ (Jemmott 1998). The black youth women are the most targeted group as they are prone to the contraction of HIV activities due to their activities and interaction among each other. Education has been identified as a method to prove this theory. This is because it fosters awareness by implicating the dangers of negligence towards the use of protection as the key to defeating HIV spread and its resultant effects (Kendall 2012). Dr. Loretta Sweet Jemmott has carried out an experiment on the theory by developing an educational intervention that delivers eight modules on safe sex practices and abstinence to inner-city black middle school student (Jemmott 1998). The program was successful as it helped in the reduction o f risky sexual behaviour. As a result sexual education was introduced in the education curriculum of the United States of America as well as internationally. The conceptual basis of the two cases of study is to present the logical argument that prevention is better than cure thus there is need to control the spread and effect of various dangerous diseases in order to enhance health practices and population growth of Africa Americans in the United States. Jemmott L, S. (1998). Journal of the American Media Association: Abstinence and safe sex HIV risk-reduction intervention for African American Adolescents: A random controlled trial. New York. National Institution of Public

Cross-Border Cyber Terrorism and Internet Crimes Term Paper

Cross-Border Cyber Terrorism and Internet Crimes - Term Paper Example The Internet today is an integral part of every home, society, and business. And for it to remain the key tool for advancement that it is there is a compelling need for awareness, regulation, and legislation. As governments across the world move forward and (hopefully) unite on this issue, these are some of the views that will bear consideration: The ‘Authorities’ View: A priority for regulators is to find ways of tracking down criminals across borders and ensuring they are punished; in a scenario where use of proxy servers assures anonymity this is easier said than done. Therefore, the imperative need for an international strategy and response to cyber attacks that is akin to traditional laws. There are countries today where customers can purchase unregistered data packs with mobile Internet capability, giving them the ability to commit an online crime such as identity theft against people in other nations without fear of being traced. This makes it in the interest of r icher nations to collaborate with the ‘have not’s’ and develop the capacity to address this abuse.  Ã‚   The general view is that these cells need to become more effective to tackle the increasing complexity and ‘creativity’ of the cybercriminal. Of late, legislative bodies have embraced Cyber Laws - a term that encapsulates the legal issues related to using various aspects of networked devices and technologies. These legal enactments - "paper laws" for a "paperless environment"- cover a broad gamut of different aspects relating to computer software, access, and control of digital information, privacy, security, internet access, and usage and electronic commerce. The ‘Popular’ View: Arguably, the most affected by the building public apprehension with respect to cybercrimes are the social media marketers. As users of sites such as Facebook and Twitter start walking on eggshells in the fear of being spammed, hacked or robbed of identity, legitimate businesses are finding it increasingly difficult to reach their target audiences.

Culture and Expectations: Building Customers

Culture and Expectations: Building Customers Culture is one of the concept that occur from many different factors also most of authors from many different fields are examine culture and cultural factors for making analysis of human characteristics. I am going to analyse cultural factors deeply for understanding international marketing better. Also I will focus on how Cultural factors affects to marketing policies and I will try to explain each factors with some relevant examples. Cultural differences how can affect social expenditures at abroad and how can international marketers market their goods and services at abroad perfectly Culture plays a vital role in expectations building of customers and helps in determining the alleged way of customers regarding service delivery (Tansik and Chase 1988, cited by Mattila 1999, p.02) It is very hard to defined culture but simply culture shows all people of one nation or societies Identities. Everybody in those societies is give similar reactions for similar situations. Also different group of society gives different reaction for the same situation. If I want to explain culture in one sentence that culture is similarities of differentiations. People who live in America can laugh to Japanese people because of their life style or Japanese people can think the same think for Americans and may be they can say how crazy they are because of their cultures or life styles. For example American people like big, smart, fast and comfortable cars but Japanese people do not drive such noisy, fast, big and bombastic cars Culture is so important for marketers and especially for international marketers. The way for success at international marketing goes from culture. Good marketers try to understand people who live at their target market and after they introduce their goods and services with the reasonable best methods. Otherwise no body expect from Japanese marketers to sell their cars to American people with successfully. I am saying successfully because those little people did it. They are one of the best car sellers in the world with their own brand. That brand name is Toyota. Maybe 50 years ago any one from America thought to use Japanese cars or even they could not think if Japans can manufacture cars. I am going to give detailed information about Toyota and their marketing strategies at the next part of my assignment but before I want to focus on Culture and factors of cultures for understanding differentiations among the nations. I believe that work will be very useful for new international ma rketers International Marketing Marketing the goods and services to other nations named as international marketing. World is globalising and competition among the firms are growing. Most of companies which win this competition are becoming Global Firms and they are serving everywhere in the earth and those companies are marketing their goods and services like in their home country. What are the difficulties of international marketing? I will try to answer this question in this section of my assignment. According to Usiner (1996) the main difficulty of international marketing must be Cultural differences. If Usiner and other authors are right at their this view I should looked what kind of elements are shapes humans life Elements of Culture Language Religion Values and Attitudes Manners and Customs Material Elements Aesthetics Education Social Institutions Language: Language is the key element for entering the new market or selling new products in the target markets because it is very important to introduce the goods and services at in a foreign country. Language not only meaning a verbal language for an international marketer also language contains everything about those people who using it. Toyota is a Japanese brand but in the earth everybody knows Toyota is the biggest Automotive Brand and people from Africa to America trust this name. Mainly Japanese people speak Japanese but wherever if Toyota manufacture or market their products, They start to communicate with those people, We are understanding this from Toyota`s corona models history at America. Toyota corona was totally responding American society`s requirements. Religion: Religions are affects humans life styles and their culture. Religion can be used as a gun for marketers but I do not recommend it. A good marketer should respect religions if they want to be successful and also they should be careful about using harmful or racist approaches for religions and their followers at every time. When I looked at the graphics below it can be helpful to understand importance of respect religions at all time. Christianity: 2.1 billion Islam: 1.5 billion Secular/Nonreligious/Agnostic/Atheist:1.1 Million Hinduism: 900 million Chinese traditional religion: 394 million Buddhism: 376 million May be it can be hard to understand importance of marketing strategies according to member of religions but when we looked at food and beverage sector it going to be easy to realize. Moslem nations do not purchase haram (forbidden by Islam) foods and beverages, Hindu nations generally become vegetarian because of their religion. Such a important differences have have to be considered by international marketers. Also I can imagine If Toyota made any advertisements which may annoy one of the members of religion; those people would definitely protest the Toyota forever. Values and Attitudes Values are the basic notion/convictions of what is right and wrong and values are fairly stable over time. Notional disagreement is a gap between two values or among values and behaviors. Attitudes are feelings and tempers that affect behavior and may change frequently. According to definition values and attitudes are just a concept and those are about personal feelings and treatments. And generally people meet under the similar feelings and treatments. Because of this meeting Values and attitudes are very important at shaping the cultural differences among the nations. The most difficult thing in the earth might be changing ideas. No one can accept cross ideas easily. Because of this situation international marketers have to debate values and attitudes while they are marketing their products and services at abroad. According to Toyota Production System (TPS): the lean management: the key managerial values and attitudes needed to sustain continuous improvement in the long run. The core management principles are articulated around the twin pillars of Continuous Improvement and Respect for People. Manners and Customs: The biggest differentiation of manners from religions that Manners are formed by people but religions ruled by God. Manners can change by the time but both religions and manners ask people to be good. Manners are accepted by one group of people. If in that group somebody does not follow the rules of manners others can think about him or her bad thinks but nobody judge them. Customs are only treatments that become habitats with repeating actions by the time. Customs can be good customs or bad customs but manners always ask for to be good. Manners and customs are used together because these words are shapes culture of small nations and big countries Material Elements: When you analyze a countrys material culture you need to look at two things: (1) its level of technological ability and (2) its economics, or how people use their abilities and the benefits achieved. http://www.suite101.com/lesson.cfm/16618/106/5 Material elements are about if the target country is using enough technology or not. Because power of technology gives people some extra abilities and this abilities helps to change life styles. International marketers have to understand their target markets` technological superiorities because this power can affect marketing strategies. Aesthetics: Aesthetics is a combination of feeling about beauty. But beauty is not the same for everybody. Aesthetics is generalisation of beauty. For example looking, smelling, tasting, touching and feeling are sensible with sense organs. And sense organs give good or bad reactions according to feelings and aesthetics occur with those good feelings. If Group of people feel good things and give similar reaction for the same situations that affects those people`s cultures at the end. Importance of aesthetics for marketers, they have to market their goods and services to their target markets according to those nations beauty and aesthetics comprehensions Education: The aim of education should be to teach us rather how to think, than what to think-rather to improve our minds, so as to enable us to think for ourselves, than to load the memory with the thoughts of other men. Bill Beattie http://www.teachersmind.com/education.htm Education is very important for international marketer. Because advertisement and such informative works for success in the business are have to prepare according to education level of target markets. People have to understand easily what we are serving or who we are with simple words or figures. At the low educational level countries visual advertisements must prefer rather than destined advertisements Social Institutions: A complex of positions, roles, norms and values lodged in particular types of social structures and organizing relatively stable patterns of human activity with respect to fundamental problems in producing life-sustaining resources, in reproducing individuals, and in sustaining viable societal structures within a given environment. (Turner 1997: 6) Social intuitions are has some structural differences from country to country for example, education systems do not have to be the same at every country or police and military can have different roles for make lives easier. Professional International marketers can easily aware of differentiations among the nations and so they can have advantages on marketing their goods and services at abroad. Part B Introduction At the second part of this assignment I am going to analyze Cateora and Ghauri`s statement about importance of experience at marketing. Why experienced marketers can be more successful then inexperienced marketers on marketing their goods or services? Cateora and Ghauri believe that most of inexperienced marketers fall in mistakes at aspect of cultures. I have already survey elements of culture at first part of this assignment Language, Religion, Values and Attitudes, Manners and Customs, Material Elements, Aesthetics, Education and Social Institutions are all defined at Part A. These elements are the central core part of cultures and culture are shaped by those elements. Every nation has their own cultural aspects but international marketer have to look those aspects very carefully. Sometimes those cultural elements can seen similar at different nations and because of those similarities international marketers can fail at those failure. Author is describing that failure as illusion. If I give an example, language: Language is a subject with language people can communicate but it does not mean learning foreign languages for understanding people better. Communication mean is not only talking and making agreements for international marketers also a good international marketer should understand him or her target market correctly. For e xample English is a Language Americans, Australians, British and many other nations speak English and most of international agreements made in English language. But many time Americans get difficulties to understand British. Similar situations occur at some Turkish speaker countries as well. For example Turkey Turks many times have understanding difficulties to Azeri or Cyprus Turks` speaking languages in fact all Turks speak Turkish Languages. Experience is jump to business in this kind of cases and those people short the understanding problems easily because they know from their experience that when Cyprus Turk says are you complete Experienced people who know Cyprus culture understand what is the meaning of are you complete and says I am fine thank you. But inexperienced people about Cyprus culture only struggle with the meanings of the words Today Toyota is one of the biggest worldwide company and Toyota marketers are marketing their product all over the world as they learn from Edward Demings at the end of World War 2. Yes you heard the real American name in Japan. Edward Demings was one of the most important managers of Toyota. He introduce to America to Toyota cars as better cars then original American cars. He was an American and he was knowing very well what Americans like or hate. And he had checked detailed at American market for improve Toyota`s specialties. This principle of learning very well of the target markets` demand and needs always became Toyota`s business strategy and so after all this studied Toyota call this studies as kaizen or continuous development all the world accepted Toyota as a world brand. Toyota always tries to learn and improve them from production to marketing process at everywhere. Conclusion From part A I have analyze culture and elements of culture for international marketing and I saw that differences growths competitions among nations or marketers. Today our world is globalizing and cultural differences are become determinant factors at business life. Language, Religion, Values and Attitudes, Manners and Customs, Material Elements, Aesthetics, Education and Social Institutions are some of most relevant factors in the earth and those elements shapes culture. International marketers should be careful when they are preparing marketing policies for different cultures From part B I have analyze importance of experience factor at marketing. Cultural factors very important at marketing and marketers should analyze cultural differences perfectly but how much if a marketer from different culture think he or she knows everything about his or her target market, he or she can fail at very simple mistakes. But to be experienced is always gives better change to be successful at marketing. Also I have learnt in the second part about key man of Toyota who made Toyota a world brand. Every marketer should respect that man and at least have to read his business strategies if they want to gain experiences quick