The Impact of Workplace Diversity on Job Performance. (Walmart case Essay

The Impact of Workplace Diversity on Job Performance. (Walmart case study) - Essay Example Findings revealed that workforce diversity has both positive and negative impacts on job performance in Walmart and that current diversity-related issues are not that damaging yet to the strategic objectives of the company. Results also showed that the most effective strategy to counter the potential negative impact of workforce diversity in the organization is to implement evidence-based initiatives which are to be introduced in several phases. Moreover, there are multifarious benefits of workforce diversity to the company. Recommendations forwarded include continuously reinforcing positive impacts, neutralizing the negative impact, evaluating diversity profiles, revisiting policies, and soliciting feedback NOW to make sure that the gap between diversity requirements and the mechanisms that address these are limited at tolerable levels. More importantly, Walmart should sustain the momentum of its diverse workforce in bringing value to the company. Introduction: Strategic human resource management (HRM) is an integral approach aimed at reaching organizational goals. It correlates about how an institution directs the performance of its officers and workers within a targeted period to perfect the company’s relation with the market and to ensure that it’s able to achieve shareholders’ expectations based on the confluence and influential factors driven by the state of the economy. Russu (1993) posited that HRM is achieved if an organization has nurtured a formal structure of organization using its human capital in the perfection of desired performance. As such, the company must be able to (a) develop strategic approaches to motivate them in order to engage them in all necessary tasks; (b) permit the organization to function for efficiency and effectiveness of services; (c) adhere to objectives using standards and performance control or systems; (d) make some essential decisions about employment in relation to organizational effectiveness; (e) appreciation of diversity to gather leverage in the market and to make the services harmonious to market; and to nurture high productivity in its economic and corporate activities. Russu (1993) pointed that HRM is therefore about defining strategies to assure concordance in business strategy and human resources strategy. It is also interested about developing a comprehensive process in the application of policies and workplace ethics or practices by setting down the integrated human resources’ desired behaviours and nurturing commitments from workforces. The objectives of this research are to broadly investigate the

Analysis Of Gdp Determinants Statistics Economics Essay

Analysis Of Gdp Determinants Statistics Economics Essay The aim of our report is to identify the factors which affects GDP for any country. In our report we are analyzing such factors in relation to Indias GDP. The report will be dealing with regression analysis, hypothesis testing, mean, median, mode etc of such factors which are independent variables and their affect on GDP which is a dependent variable. 2. Introduction: The report revolves around an exploratory study. It includes analyzing the statistical data of Indias GDP and other factors like Employment to population ratio, FDI, population for the past 20 years. Our aim is to identify the dependence of above mentioned factors on GDP of India and results of the regression analysis. Here we take GDP as the dependent variable and other three factors as the independent variables. Before getting into analysis we look into the substitute measures of each variable used in the report for analyzing regression, hypothesis testing and calculating the mean and median values. GDP Lending Interest Rates FDI Population Employment to population ratio 2.1) GDP: GDP forms the dependent variable of our research study. GDP is an indicator of overall economic welfare of a country. It is the sum total of the final goods and services produced within the borders of the nation. In other words, summing up the consumption, government expenditure, investments and net exports results in the GDP growth rate of a country. It is considered to be a very important element as it helps in estimating the health of countrys economy. Calculating the GDP is not an easy task because of which they are left to be calculated by the economists. GDP growth rate of an economy is dependent on various factors like FDI, population to employment ratio, lending interest rate, population etc. Governments closely watch out the GDP as it measures the economic performance of the country. If GDP rises it means the economy has grown and vice versa. GDP is criticized on various grounds like it does not talks about the spending power, distribution of income or well being of countrys inhabitant. Formula of calculating GDP: GDP=C+I+G+(X-M) Where, C=consumption I=investment G=government expenditure (X-M) =Net Exports The independent variables (Population, Lending Interest rates, FDI, Employment to population ratio etc ) that we are using in the research analysis affect each of these above mentioned components. The data related to GDP has been shown in the appendix 9.1 2.2 ) Employment to population ratio: It is taken as an independent variable in our study. We attempt to measure the impact of this ratio on GDP growth in India. Employment to population ratio basically means the ratio of the total working age of the labor force employed over total population. Following formula is used in calculating the ratio: Employment to population ratio= Employed Persons/ Total non-institutionalized civilian population *100 This ratio does not bear underrating problems relating to unemployed persons and other discouraged workers that enter or exit the labor force. The data of employment ratio is shown in appendix 9.1 2.3) FDI: Foreign direct investment is an independent variable in our research report. We try finding out the impact of FDI on GDP growth rate. In simple words it is an investment made by one company in a given country in another company based or set up in another country. FDI has been a major source of managerial skills, technology, capital and access to market desired for sustained economic development and growth in the recent past. All the Countries are involved in inviting more and more of foreign direct investment to come and invest in their country resulting in rapid economic growth. FDI is considered to be an important factor in facilitating growth, however, it will result in growth only if the inflows are carefully managed and invested. The related data is included in the appendix 9.1 for the past 20 years . All the inferences related to FDI has been drawn on the basis of such data. 2.4) Population: The growth of population has always been a debating issue. There is no conclusion as to it is negative or positive for growth of an economy. Population and economic growth are interrelated to each other in a way that, population increases due to high economic growth leading to early marriages and hiking birth rates and checking on the mortality rates by providing healthy environment to the citizens. Higher population also depresses economic growth through diminishing returns. (Becker, Glaeser, and Murphy 1999, p. 145) In our study we attempt to study the impact of population on economic growth which is expressed as the real GDP per capita. The data regarding population for past 20 years has been included in the appendix 9.1. All the analysis related to it has been done on the basis of such data and various results has been drawn on such basis. 2.5) Lending Interest Rate: Lending Interest rate is the amount of interest charged by a lender from a borrower in case of loan being offered. A countrys real GDP and interest rates are interlinked in a variety of means. They have a direct relationship, i.e., high lending rate results in high growth for the economy. The dependence of GDP on Lending Interest Rate can be studied in the analysis of the study. The related data regarding interest rate is included in appendix 9.1 3. Tools used for research study: The statistical tools used in our research study with the objective of finding the dependence of GDP on various independent variables like, Population, Lending interest rates, FDI, Employment to population ratio are Regression Analysis, Mean, Median, Mode, Hypothesis Testing Steps involved in analysis: Our first step was to scrutinize and identify the factors responsible for GDP growth of a nation. Next, we tried locating data of the identified factors for the past 20 years. Than we tried finding relationship of various factors with the GDP of a nation. The data was than constructed and summarised in a proper manner to conduct regression analysis. SPSS software was used to conduct the regression analysis and hypothesis testing. All the data and factors collected are using the secondary sources, i.e., Internet and Journals. 4. Data Description: N i.e. the number of observations for our research is 20. There are two types of data: Qualitative Quantitative Qualitative data deals with categorical measurement and is not measured in terms of numeric values. For our study the qualitative factors can be like Market Risk, Business Confidence etc, which affects the GDP but due to their qualitative nature we overlooked them of the study. Quantitative data deals with the numerical measurement of the database. Relating to our study, the quantitative data factors are Population, GDP, Lending interest rates, FDI etc. We have limited our research taking in account only the quantitative data. Data can also be time series or cross sectional: Cross sectional data is the data for a given point of time analyzing the differences among the subjects. Whereas time series data is concerned with the data over a spread time course In our report we are using time-series data, for 20 years i.e. from 1991 to 2010. Regression Analysis: Regression Analysis means scrutinizing the relationship between a dependent and independent variable. After conducting an analysis, regression statistics is helpful in identifying the dependent variable when the independent variables are unknown. Dependent Variable- GDP growth of India Independent variable- FDI, Employment to Population ratio and Real Interest Rate The regression equation is: Y=b1X1+b2X2+.+E In the above equation- Y= dependent variable X1, X2 =independent variables b1, b2 =coefficients describing effect of independent variables on the dependent variables E=error term In our study, the equation looks like, GDP=b1F1+b2F2+b3F3++bnfn Where, F1 to Fn= independent variable factors Hypothesis testing: Hypothesis testing is the test of significance wherein we identify the likelihood that an assumption is true, and at what likelihood we would hold the assumption as true. The assumption made is referred as the Null hypothesis and is denoted by H0 and an alternate hypothesis is defined known as an Alternative Hypothesis and is denoted by Ha. The rationale behind this test is to hold null hypothesis to be true and then performing the study on the argument in question. Once the hypothesis is defined and data is collected and constructed, following steps of hypothesis are followed: A critical region of size alpha is determined using the sample distribution of the test statistics Using the sample data, identify the values of test statistics The last step is confirming that the value of test statistics falls under the critical region defined; if no, we accept the null in favour of the alternative hypothesis and if yes, we reject the null hypothesis. 5). Variables considered as independent in hypothesis and doing regression analysis In doing the analysis of various factors affecting GDP growth some of the factors which is been considered as the variables are FDI, Employment ratio, Population and Lending interest rate as they impact directly in the growth of GDP for any country. The factors are denoted by r and following relation between the factors as stated above and the regression can be explained under 5.1) Population (H1) Although increase in population has a negative impact on the economy of any country. However, such increase allows availability of labor at cheap rates which attracts the companies or firms to make more investment in the form of Foreign direct investment or FIIs that helps to give upward thrust in GDP. 5.2) Foreign Direct Investment(H2) It can be argued on the grounds of proven facts that Foreign Direct Investment has a positive relation for boosting the economic growth of any country which results in increasing the GDP of the country. FDI allows the money to come in the economy which creates opportunities to increase growth of the economy. 5.3) Employment Ratio(H3) It also affects the economy which indeed affects GDP growth as with the increase in the employment more expenditure will have to be incurred which in turn affect countrys GDP 5.4) Lending Interest Rate(H4) If the interest rate increases it will lead to less money circulation in the economy. The banks and financial institutions of the country will not able to lend money as the people will not be willing to accept because the increase in interest rate will attract more interest expense and hence will resist to it. This will result in decrease in the consumption which will bend the GDP down and secondly money circulation will also reduce which result in the fall in GDP growth. Hence the whole discussion can be summarized in the following manner-: H1- Increase in population lead to increased GDP. Hence it has a positive relation H2- Increase in FDI Increases GDP. It also has a positive relation H3- Increase in employment leads to increase in GDP. It shows positive relation H4- Increase in Interest rate leads to fall in GDP. It has a negative relation 6). Regression results 6.1) Employment Regression (Appendix 9.3.1) In this regression model, Employment ratio is an independent variable and on X-axis. GDP is a dependent variable and on y-axis. After doing data analysis of this model, we conclude that the regression equation for this is: Here, is an intercept which is 1.736 is a slope of this equation which is -2.958 Estimated value If employment ratio is increase by 1, there is decrease in GDP by 2.958. There is negative linear relationship between GDP and employment ratio. Now if we talk about correlation between these two variable which is R. = +à ¢Ã‹â€ Ã… ¡(.720) = +.849 In this + sign shows that correlation is positive and is .849 Now is .72 which shows that 72 % variance in GDP is explained by employment ratio. Now if we talk about this model whether it is good or bad, we have to check two condition. should be high In this is high. Hypothesis test: : ÃŽÂ ² = 0 (no linear relationship between X and Y) : ÃŽÂ ² à ¢Ã¢â‚¬ °Ã‚   0 (linear relationship between X and Y) This is conclude by t statistics Now, = -6.80 Standard error à ¢Ã‹â€ Ã¢â‚¬â„¢value is .000 and we assume ÃŽÂ ± is .05 which is greater than p-value. Hence we reject . So we conclude that it is a good regression model. 6.2) FDI Regression (Appendix 9.3.2) In this regression model, FDI is an independent variable and on X-axis. GDP is a dependent variable and on y-axis. After doing data analysis of this model, we conclude that the regression equation for this is: Here, is an intercept which is 3.894 is a slope of this equation which is 0.029 Estimated value If FDI is increase by 1, there is increase in GDP by . There is positive linear relationship between GDP and FDI as the slope is positive. Now if we talk about correlation between these two variable which is R. = +à ¢Ã‹â€ Ã… ¡(.782) = +.884 In this + sign shows that correlation is positive and is .884 Now is .78 which shows that 78 % variance in GDP is explained by FDI. Now if we talk about this model whether it is good or bad, we have to check two condition. should be high In this is high. Hypothesis test: : ÃŽÂ ² = 0 (no linear relationship between X and Y) : ÃŽÂ ² à ¢Ã¢â‚¬ °Ã‚   0 (linear relationship between X and Y) This is conclude by t statistics Now, = 8.025 Standard error à ¢Ã‹â€ Ã¢â‚¬â„¢value is .000 and we assume ÃŽÂ ± is .05 which is greater than p-value. Hence we reject . So we conclude that it is a good regression model. 6.3) Lending interest rate (Appendix 9. 3.3) In this regression model, Lending interest rate is an independent variable and on X-axis. GDP is a dependent variable and on y-axis. After doing data analysis of this model, we conclude that the regression equation for this is: Here, is an intercept which is 2.088 is a slope of this equation which is -1.066 Estimated value If lending interest rate increases by 1, there is decrease in GDP by 1.066. There is negative linear relationship between GDP and lending interest rate as the slope is negative. Now if we talk about correlation between these two variable which is R. = +à ¢Ã‹â€ Ã… ¡(.466) = +.683 In this + sign shows that correlation is positive and is .849 Now is .46 which shows that 46 % variance in GDP is explained by employment ratio. Now if we talk about this model whether it is good or bad, we have check two condition. should be high In this is high. Hypothesis test: : ÃŽÂ ² = 0 (no linear relationship between X and Y) : ÃŽÂ ² à ¢Ã¢â‚¬ °Ã‚   0 (linear relationship between X and Y) This is conclude by t statistics Now, = -3.964 Standard error à ¢Ã‹â€ Ã¢â‚¬â„¢value is .001 and we assume ÃŽÂ ± is .05 which is greater than p-value. Hence we reject . So we conclude that it is a good regression model. 6.4) Population Regression (Appendix 9.3.4) In this regression model, Population is an independent variable and on X-axis. GDP is a dependent variable and on y-axis. After doing data analysis of this model, we conclude that the regression equation for this is: Here, is an intercept which is 3.894 is a slope of this equation which is 0.029 Estimated value If population is increase by 1, there is increase in GDP by 3.60 There is strong positive linear relationship between GDP and POPULATION as the slope is positive. Now if we talk about correlation between these two variable which is R. = +à ¢Ã‹â€ Ã… ¡(.819) = +.905 In this + sign shows that correlation is positive and is .905 Now is .81 which shows that 81 % variance in GDP is explained by population. Now if we talk about this model whether it is good or bad, we have to check two condition. should be high In this is high. Hypothesis test: : ÃŽÂ ² = 0 (no linear relationship between X and Y) : ÃŽÂ ² à ¢Ã¢â‚¬ °Ã‚   0 (linear relationship between X and Y) This is conclude by t statistics Now, = 9.031 Standard error à ¢Ã‹â€ Ã¢â‚¬â„¢value is .000 and we assume ÃŽÂ ± is .05 which is greater than p-value. Hence we reject . So we conclude that it is a good regression model. 7) Conclusion The effect of factors like employment ratio, foreign direct investment, lending interest rate and population on GDP of India are considered as important variables which we have tried to explain with the help of regression analysis and hypothesis testing. By considering the data of past 20 years we have also calculated its mean, median, mode, Variance, standard deviation (appendix 2). We have one dependent variable that is GDP and four independent variables which are FDI, employment ratio, population, and interest rate. According to multiple regressions, the equation for the model is: Where x1, x2, x3, x4 are the independent variable, estimated value E(y) is expected by these variable. In our report, we have taken separate simple regression models Regression analysis cannot interpret as a procedure for establishing a cause and effect relationship between variables. It can only show that how much these variables are related or associated with each other. Regression equation tells us about mean value of y for given value of x. According to Hypothesis test, all four regression model is good model and it estimates the mean value for these independent variables with less errors. The models also shows the relationship between GDP and these independent variables and their effect on GDP. If value of these independent variables is increase by 1, we conclude how much it affects the estimated value of GDP. Estimated value of GDP is increases by 3.60 if there is one unit increase in population Estimated value of GDP is increased by .029 if there is one unit increase in FDI Estimated value of GDP is decreased by 2.958 if there is one unit increase in employment ratio Estimated value of GDP is decreased by 1.066 if there is one unit increase in interest rate Hence it can be concluded that all factors affects GDP and we cant estimate GDP if we dont have particular value of these independent variable. 8) Bibliography References Amosweb.com (2012) AmosWEB is Economics: Encyclonomic WEB*pedia. [online] Available at: http://www.amosweb.com/cgi-bin/awb_nav.pl?s=wpdc=dspk=employment-population+ratio [Accessed: 29 Nov 2012]. Anderson, D. and Sweeney, D. (2011) Statistics for Business and Economics. 11th ed. New Delhi: Cengage Learning India Private Limited. Databank.worldbank.org (2012) World Databank. [online] Available at: http://databank.worldbank.org/ddp/home.do [Accessed: 29 Nov 2012]. Investopedia.com (2012) Real Interest Rate Definition | Investopedia. [online] Available at: http://www.investopedia.com/terms/r/realinterestrate.asp#axzz2DS1wJc9k [Accessed: 29 Nov 2012]. Scribd.com (2012) GDP. [online] Available at: http://www.scribd.com/doc/81376677/GDP [Accessed: 29 Nov 2012]. Scribd.com (2001) FACTORS INFLUENCING THE GDP OF INDIA. [online] Available at: http://www.scribd.com/doc/84520340/FACTORS-INFLUENCING-THE-GDP-OF-INDIA [Accessed: 29 Nov 2012]. Unknown. (2012) [online] Available at: http://web.williams.edu/go/math/sjmiller/public_html/BrownClasses/162/Handouts/StatsTests04.pdf [Accessed: 29 Nov 2012].

Depression and Body Image Essay -- Psychology Health Essays

Depression and Body Image American society places a tremendous emphasis on physical appearance. Many adolescent girls go to great lengths to achieve these unrealistic standards of thinness. Eating disorders have become a prevalent disease in Western society. Dissatisfaction with one’s physical appearance is viewed as a core feature of eating disorders. A negative body image is also a common feature associated with depression. There appears to be a link, although unclear, between depression and a poor body image. Adolescence is a tumultuous period in one’s life. Bodies of adolescents are dramatically changing, and these physical changes are associated with changes in body image. Body image pertains to how individuals view and assign meaning to their own bodies. It is a reflection of body structure and function, early and continuing body related experience, life long social response to body appearance, and sociocultural values and ideals regarding the body (Reirdan, 1997). Adolescence: A Period of Dramatic Change A normative developmental task for both girls and boys is to assimilate pubertal change into a positively valued body image. This task is more difficult for girls than for boys; girls are more concerned about attractiveness than boys, and they are less satisfied with their appearance (Rierdan, 1989). In a list of body areas, girls were more concerned that their thighs, buttocks and hips were too large. Even normal to thin girls were highly likely to desire smaller thighs, buttocks or hips. It is interesting to note that younger girls, aged 10-12 years, were less likely to select areas of sexual attractiveness, but tended to be dissatisfied with areas such as teeth, face, and feet (Moore, 1993). It is clear th... ...ior in Adolescents. Journal of the American College of Nutrition, 12, 505-510. Morey, D., Morey, L. (1991). The Vulnerable Body Image of Females with Feelings of Depression. Journal of Research in Personality, 25, 343-354. Noles, S., Cash, T., Winstead, B. (1985). Body Image, Physical Attractiveness, and Depression. Journal of Consulting and Clinical Psychology, 53, 88-94. Rierdan, J., Koff, E., Stubbs, M. (1987). Depressive Symptomolgy and Body Image in Adolescent Girls. Journal of Early Adolescence, 7, 205-216. Rierdan, J., Koff, E., Stubbs, M. (1988). Gender, Depression, and Body Image in Adolescents. Journal of Early Adolescence, 8, 109-117. Rierdan, J., Koff, E., Stubbs, M. (1987). A Longitudinal Analysis of Body Image as a Predictor of the Onset and Persistence of Adolescent Girls’ Depression. Journal of Early Adolescence, 7, 205-216.

Comparative Literary Analysis

If you were placed onto a stranded island in the middle of nowhere with no hope of being rescued, even the most civilized person would turn to savagery by the end. This is a fact about human nature, and at one point humans lose their morals and values. In The Crucible and the Lord of the Flies, both authors, Miller and Golding, show the evil in nature, the fight for truth, and mob mentality in certain situations. Abigail Williams and Jack both become very power hungry by the end and show the evil in nature, while John Proctor and Simon are looking for the truth, and Mary Warren and SamnEric follow the mob mentality that is going around.In The Crucible, Abigail Williams is first seen as a child speaking the truth and pointing out the people in the town who are â€Å"witches†. Everyone in the town believes her and her group of friends. But as she realizes that she has the power to condemn anyone as a witch, she overuses that power. Since Abigail desires to be with John Proctor, but he is not willing to be with her due to his wife, Abigail decides to condemn Elizabeth Proctor as a witch, so that she would be able to be with John. This clearly shows how people can use their power that they might have for their own good and use it for evil.This occurs in The Lord of the Flies when Jack slowly becomes more and more power hungry. Throughout the novel, Jack always wants to become chief but Ralph is chosen as chief and this did not please Jack. But as the novel progresses, Jack slowly turns to savagery, and the others follow Jack with his savagery. An example is his wild hunts for pigs, and his crazy dances after killing the pig. He feels much more powerful as more people start to enjoy killings pigs with him and he starts to form a type of mob.â€Å"His mind was crowded with memories: memories of the knowledge that had come to them when they closed in on the struggling pig, knowledge that they had outwitted a living thing, imposed their will upon it, taken away its life like a long satisfying drink. †(Golding 70) This quote explores Jack’s mental state in the aftermath of killing his first pig. This slightly shows the decline into savage behavior. This quote shows Jack’s feelings of power and superiority he experiences after killing the pig. This power slowly transitions into creating his mob and gaining more power from everyone around him, which causes him to become the chief.With this power he gains, Jack now controls most of the island, which allows him to do almost anything he wants, including to set the island on fire just to kill Ralph. At the same time in both The Crucible and The Lord of the Flies, John Proctor and Simon are looking for the truth for the fear in which everyone was going crazy in the town or island. In The Crucible, John Proctor looks for the truth as he questions the honesty of the girls calling out the witches in the town. John carefully looks for evidence to prove that the girls aren’t telling the truth.Fortunately Mary Warren admits to John that they are all playing along only because of Abigail. But at the courthouse, no one believes Mary Warren, and she is also called a witch, so to save herself, she blames John Proctor in threatening Mary to lie. As much as John tries to fight for the truth, he fails at showing everyone because of the power everyone else has over him. Simon in The Lord of the Flies also fails to show the truth over the â€Å"beast† that everyone feared. â€Å"‘As if’, said Simon, ‘the beastie, the beastie or snake thing, was real. Remember?’† (Golding 50)From the beginning Simon doubts the truth about this beast in the island and tries to assure the younger kids that there is no beast. Simon is the only character who truly looks out to find the truth about the beast. But in the end, he is seen as the beast and is killed by the boys who change into savages. When Simon returns to the campfire to tell ever yone what the beast that everyone has feared of, he is mistaken as the beast and never gets to explain the truth. This is just like John Proctor in which he is also killed before the truth gets out.This comparison is similar because both Simon and John were the only people to reveal the truth to the public but no one listens to them, and they end up dead before they say anything. During all of this in The Crucible and The Lord of the Flies, there are the leaders, Abigail and Jack, and then there are the followers, Mary Warren and SamnEric. In The Crucible, Mary Warren follows the mob mentality because of Abigail, and the fear of getting caught. If Mary did not follow what Abigail had said in the beginning to play along with her, Abigail threaten to kill them all, or at least hurt them.Due to this Mary went along with the mob. Although Mary tries to confess in the courtroom, in the end she still retreats back to the mob mentality and blames John Proctor. This also happens in The Lord of the Flies when SamnEric join Jack’s mob. â€Å"Now the painted group felt the otherness of SamnEric, felt the power in their own hands. They felled the twins clumsily and excitedly. Jack was inspired. †(Golding 191) This quote shows how Jack becomes happy with the increasing number to his group and it shows that SamnEric join due to the mob mentality and the power that Jack has compared to Ralph.They try to follow their conscience but end up joining the mob and go along with the savages. Throughout the movie and novel, people end up losing their morals either due to having too much power or not having enough and going out of their way to gain that power. The evil in nature is clearly shown by both authors and depict how far people would go for ambitions that they want such as power. Both authors also show that the truth never gets out, which is unfortunate, but life doesn’t always have happy endings either. And last but not least, the mob mentality is a driv ing force for all the madness in the town of Salem and the Island.

Persenal Narrative on Stress Essay

Personal Narrative Stress is something that I hate in life. I have this stress of my grades in school and scared they might drop. In addition, I also have stress of thinking of my future and what I am going to do when I’m done with high school. However, if the stress becomes too much, I go to the mall or somewhere else and get a massage so I can relax and push all that stress that I had. Well the first stress I have is that since I am in school I always have stress about my grades. Since of all the work they give me it takes me longer to finish my work and because of that, I do not really get enough sleep. Therefore, because of not enough sleep I end up waking up mad and all stressed out. Another reason why I worry about my grades causes my stress is that my grades will be the only way I will have a future and a career when I am an adult. The next stress I have is when I start thinking about my future and thinking about which college I want to go to, I start thinking how far is it going to be. I also start thinking about the cost and how much scholarships I need in order to be able to go to the college that I want, like the college that I want to go to is the University of Central Florida. In addition, also start trying to think what career I want so I will be able to pay my bills and support my family. A few things I do in order to take away the stress is to either go to the mall or somewhere else or get massage. After my massage is over with, I feel like I am a brand-new that nothing and I can stop me. Until I get the stress back then I just go back to get a massage. On the other hand, what I will do is go and chill with my friends. What make it relaxing is that my friends and I, just make fun of each other, tell jokes, and tell funny things that have happen in our lives. In conclusion, for me stress is something I hate a lot. It makes me unable to sleep since I am all ways worrying about my grades. It makes me stress of my future, if I will be able to get into the University of Central Florida, and of what career I want to have so I can support my family. However, when I start getting too much stress I would go to the mall or somewhere else and get a massage or just go and chill with my friends to have a good time.