I Have Spent My Life Judging The Distance Between American...

Bruce Springsteen once said, â€Å"I have spent my life judging the distance between American reality and the American dream.† â€Å"What is the American dream,† is a question that many historians and writers have asked and contemplated. Some believe the American dream to be all about being wealthy and successful, and having freedom and democracy. Others believe, as Horatio Alger did, that the American dream is gaining riches from rags. Sylvester Stallone is said to be living the American dream that Horatio Alger portrayed. Stallone went from â€Å"rags to riches†; he was living on very little money and suddenly, after he was inspired to write the script for Rocky, he starred in the film that he wrote and became rich. However, there is no specific American dream—there are no limits on what the American dream could be, it all depends on one’s society and the life that one lives. This â€Å"American dream†, as well as societal problems and pr essures, is commonly mentioned and discussed by authors in American literature. These American literature authors frequently wrote about the dreams and the societal pressures put on characters that ultimately decided their fates. Whether the characters’ fates were beautiful or ugly was ascertained by societal pressures and dreams in the American literature pieces, The Things They Carried, The Scarlet Letter, Of Mice and Men, and The Great Gatsby. Tim O’Brien, in the novel, The Things They Carried, portrayed how societal pressures put on Mary Anne BellShow MoreRelatedSummary Communication Theory13076 Words   |  53 Pagesperception of reality and behaviour and guides us through unknown areas. Images of theory: 1.) Theories as nets: Theories try to explain phenomena. 2.) Theories as lenses: our perception is shaped by the way we want to see things. Thus, we pay special attention to certain aspects of communication, while disregarding others. 3.) Theories as maps: Theories act like guides through unknown areas. What is communication? Communication is the process of exchanging information and ideas between at leastRead MoreSummary Communication Theory13084 Words   |  53 Pagesaccepted wisdom and offers explanations and speculations about phenomena. Additionally, a good theory consists of a system of concepts which means that the theorist were able to make connections among his ideas. A theory tends to shape our perception of reality and behaviour and guides us through unknown areas. Images of theory: 1.) Theories as nets: Theories try to explain phenomena. 2.) Theories as lenses: our perception is shaped by the way we want to see things. 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Math Studies Sl Internal Assessment Free Essays

string(131) " males and females are close to each other, meaning that both have pieces of data that are similarly far from the calculated mean\." Dependency of a Boxer’s Win rate on Reach and Gender Antonio Paolo Gomez Candidate No. 003902-006 Northbridge International School Cambodia Math Studies Internal Assessment Word Count: 1655 Statement of Task3 Plan3 Data4 Math Processes5 Simple math processes:5 Pearson’s Correlation Coefficient r:7 Chi-Square8 Discussion/Validity10 Conclusion10 Works Cited11 Statement of Task Boxing is a very well known sport around the world, where two disciplined athletes face off in a ring, trading blows until one of them submits or until judges decide a winner. The sport revolves around throwing blows with their fists, and to organize said athletes, their characteristics are measured, and their accomplishments are recorded. We will write a custom essay sample on Math Studies Sl Internal Assessment or any similar topic only for you Order Now Before a fight is held, a fighter’s profile is summarized, mentioning the person’s height, weight, reach, and their win/loss record. All of what is mentioned is said to play a big part in the flow of the match. The purpose of this investigation is to determine if there is a relationship between a boxer’s reach and his winning rate. The data that will be taken will be professional boxers’ measured reach and their counts of wins and losses for winning rate. The measurement of a boxer’s reach is used to determine how far he can extend his punch. The measure of boxers’ reaches and their records of wins and losses will be used to determine if reach is one of the larger factors that affect an athlete’s chances in a match. Plan The investigation will include data gathered from professional boxers, which are their reach and their counts of wins and losses. The data that will be collected can be collected from official sites online, which have brief profiles of athletes’ measurements. I will be using official sites since they tend to be up to date and have accurate and legit information. The amount of data collected will consist of 30 athletes, half of whom are male and half are female. The data will be collected from official boxing sites such as BoxRec. com, which contains the profiles of numerous official boxers and their measurements, which includes their reach and wins and losses. The data for one athlete will consist of his reach and his win/loss record. I will attempt to avoid any professional athletes that are relatively new to the professional stage, so I will be looking at boxers with around at least five years of experience. Once the data has been acquired, the data will be analyzed using different mathematical processes. A scatter plot will be used to plot out said data. The correlation coefficient r will be calculated. The   test of independence will be used to determine if there is a dependency between a boxer’s gender and winning rate. Data | Males| | Boxer| Reach (cm)| Win Rate (%)| 1| 170| 90. 00| 2| 173| 96. 77| 3| 183| 96. 88| 4| 194| 88. 57| 5| 183| 87. 88| 6| 207| 92. 31| 7| 177| 94. 29| 8| 183| 72. 34| 9| 201| 100. 00| 10| 198| 95. 24| 11| 198| 80. 77| 2| 179| 86. 21| 13| 179| 89. 29| 14| 183| 87. 88| 15| 180| 89. 66| | Females| | Boxer| Reach (cm)| Win Rate (%)| 1| 165| 89. 47| 2| 161| 86. 67| 3| 167| 66. 04| 4| 166| 75. 00| 5| 162| 81. 25| 6| 168| 93. 33| 7| 163| 76. 47| 8| 162| 75. 00| 9| 159| 88. 46| 10| 167| 86. 21| 11| 176| 80. 95| 12| 171| 83. 87| 13| 168| 82. 61| 14| 166| 78. 95| 15| 169| 90. 48| From the scatter plot using both male and female sets of data, we can predict tha t the calculated correlation would be weak and that a boxer’s win rate weakly correlates with his/her reach. This can be seen as the data points are spread and plotted quite far from the line of best fit. Math Processes Simple math processes: Average: Males * Reach in centimeters: 170+173+183+194+183+207+177+183+201+198+198+179+179+183+180=2788 2788/15= 185. 8666667 cm * Win rate in percentage: 90. 00+96. 77+96. 88+88. 57+87. 88+92. 31+94. 29+72. 34+100+95. 24+80. 77+86. 21+89. 29+87. 88+89. 66= 1348. 09 1348. 09/15= 89. 87% Average: Females * Reach in centimeters: 165+161+167+166+162+168+163+162+159+167+176+171+168+166+169= 2490 2490/15= 166 cm * Win rate in percentage: 89. 7+86. 67+66. 04+75+81. 25+93. 33+76. 47+75+88. 46+86. 21+80. 95+83. 87+82. 61+78. 95+90. 48=1234. 76 1234. 76/15=82. 32 Average: both genders * Reach in centimeters: 2788+2490=5278 5278/30=175. 93 cm * Win rate in percentage: 1348. 09+1234. 76= 2582. 85 2582. 85/30= 86. 095% We can see a small difference in win rate between the genders, with male boxers having a higher win rate by about 7%. We can see a bigger differenc e between the reach of the two genders but this would most likely be because men tend to grow and develop their bodies naturally larger than women. Standard Deviation: Reach: Males: Sx=170-185. 872+173-185. 872+183-185. 872+194-185. 872†¦180-185. 87215 Sx=10. 626 Females: Sx=165-1662+161-1662+167-1662+166-1662+162-1662†¦169-166215 Sx=4. 163 Both Genders: Sx=170-175. 932+173-175. 932+183-175. 932+194-175. 932†¦169-175. 93230 Sx=12. 798 We are able to see that the standard deviation is greater for the male boxers female boxers. We can assume that the pieces of data from the men are spread farther from the mean as compared to the data from the women. This means that in regards to the data collected, female boxers seem to be closer n their measured reach as compared to the males. The standard deviation for both groups surpasses the calculated standard deviation for the separate male and female groups, meaning that as a whole range of data, the reaches recorded altogether are even more spread out from the average as compared to the genders separately. Standard Deviation: Win rate: Males: Sx=90-89. 872+96. 77-89. 872+96 . 88-89. 872+88. 57-89. 872†¦89. 66-89. 87215 Sx=6. 67 Females: Sx=89. 47-82. 322+86. 67-82. 322+66. 04-82. 322+75-82. 322†¦90. 48-82. 32215 Sx=6. 995 Both Genders: Sy=90. 00-86. 0952+96. 7-86. 0952+96. 88-86. 0952+88. 57-86. 0952†¦90. 48-86. 095230 Sy = 7. 8087 We can see from the calculated standard deviations that the standard deviation for the win rate of males and females are close to each other, meaning that both have pieces of data that are similarly far from the calculated mean. You read "Math Studies Sl Internal Assessment" in category "Essay examples" In regards to all data recorded regardless of gender, the standard deviation is found to be slightly higher, meaning that the pieces of data for both genders are slightly farther from the mean as compared to the separate gender groups of data. Subject| Reach| Win Rate| xy| | 170| 90| 15300| 2| 173| 96. 77| 16741. 21| 3| 183| 96. 88| 17729. 04| 4| 194| 88. 57| 17182. 58| 5| 183| 87. 88| 16082. 04| 6| 207| 92. 31 | 19108. 17| 7| 177| 94. 29| 16689. 33| 8| 183| 72. 34| 13238. 22| 9| 201| 100| 20100| 10| 198| 95. 24| 18857. 52| 11| 198| 80. 77| 15992. 46| 12| 179| 86. 21| 15431. 59| 13| 179| 89. 29| 15982. 91| 14| 183| 87. 88| 16082. 04| 15| 180| 89. 66| 16138. 8| 16| 165| 89. 47| 14762. 55| 17| 161| 86. 67| 13953. 87| 18| 167| 66. 04| 11028. 68| 19| 166| 75| 12450| 20| 162| 81. 25| 13162. 5| 21| 168| 93. 33| 15679. 44| 22| 163| 76. 47| 12464. 1| 23| 162| 75| 12150| 24| 159| 88. 46| 14065. 14| 25| 167| 86. 21| 14397. 07| 26| 176| 80. 95| 14247. 2| 27| 171| 83. 87| 14341. 77| 28| 168| 82. 61| 13878. 48| 29| 166| 78. 95| 13105. 7| 30| 169| 90. 48| 15291. 12| sum| 5278| 2582. 85| 455634| average| 175. 9333| 86. 1| 15187. 8| Pearson’s Correlation Coefficient r: Covariance: x-x(y-y)n or xyn-x y x=175. 93 y=86. 095 xy=455634. 04 455634. 0430=15187. 80133 15187. 80133-175. 9386. 095=41. 10789 Correlation: r=SxySxSy Sxy=41. 10789 Sx=12. 798 Sy=7. 8087 41. 1078912. 798(7. 8087)=. 411344119 r=. 4 11344119 r2=. 1692039842 Correlation coefficient r is calculated to be very weak, meaning that reach and win rate show very little correlation and that a boxer’s reach is not a big factor of his or her chances of victory. With low correlation between a boxer’s reach and win rate, I will now see if gender is a factor of an athlete’s win rate by calculating chi squared. Chi-Square Observed Values | Numerical| Numerical| Total| Category| A| B| A+B| Category| C| D| C+D| Total| A+C| B+D| N| Calculating Expected Values | Numerical| Numerical| Total| Category| (A+B)(A+C)/30| (A+B)(B+D)/30| A+B| Category| (C+D)(A+C)/30| (C+D)(B+D)/30| C+D| Total| A+C| B+D| N| Intervals have been decided by average of the winning rates of the two genders. (82. 32+89. 87)/2=86. 095 Observed Data Values | Win rate 86%| Win rate ? 86%| Total| Male| 2| 13| 15| Female| 9| 6| 15| Total| 11| 19| 30| Calculated Expected Data Values | Win rate 86%| Win rate ? 86%| Total| Male| 5. 5| 9. 5| 15| Female| 5. 5| 9. 5| 15| Total| 11| 19| 30| Degrees of Freedom Df=(Rows-1) (Columns-1) (2-1)(2-1) = 1 ?2=fo-fe2fe fo = Observed Frequency fe = Expected Frequency ?2=1-323+7-7. 527. 5+7-4. 524. 5+5-323+8-7. 527. 5+2-4. 524. 5 Chi Square Value Table o| fe| fo-fe| (fe-fe)^2| (fo-fe)^2/fe| 2| 5. 5| 3. 5| 12. 25| 2. 227272727| 13| 9. 5| -3. 5| 12. 25| 1. 289473684| 9| 5. 5| -3. 5| 12. 25| 2. 227272727| 6| 9. 5| 3. 5| 12. 25| 1. 289473684| | | | sum:| 7. 033492823| ?2= 7. 033 Degrees of freedom= 1 Significance level= 5% 5% significance is used because it is the most common level of significance used. HO= Gender and win rate are independent of each other H1= Gend er and win rate are dependent of each other The ? 2 critical value at 5% significance with 1 degrees freedom is found to be 3. 841. The ? 2 value is greater than the critical value: 7. 333. 841, the null hypothesis is rejected and it can therefore be assumed that a boxer’s win rate is dependent of his or her gender. Discussion/Validity The investigation carried out to observe the correlation of Win rate and reach and win rate and gender has a few limitations that have affected the outcome of the results. One limitation is that although it is taken into account the reach of each boxer, their size and weight places them in different classes for professional fights. This means that fighters would normally be fighting people that have similar size, and theoretically, similar reach. With similar reach between two fighting boxers, the outcome of an athlete’s history of fights really could have been affected by other factors such as tactics and strength. Another limitation would be the fact that all of the collected pieces of data are all of high win rates. In boxing records and leagues, if there is a boxer who has won 90% of his matches, there should also be a boxer who has lost that many of his matches as well. The collected data covers 30 pieces. This is done to supply a large amount of data, enough to give reasonably accurate results. Half of the data gathered covered male boxers and the other half covered female for the purpose of investigating the dependency of win rate on gender with chi squared. One limitation in regards to the genders, is that there is no co-ed boxing, meaning that females and males do not compete with each other and are separated into two genders for boxing matches. Although there is no specified threshold for winning rates in boxing, the intervals decided in the chi squared tables can be justified as the below and above averages for the average win rates of the two genders. Conclusion The found ? 2 value of 7. 033 rejects the null hypothesis, that Win rate for boxers is independent of their gender and accepts the alternative hypothesis, that a boxer’s win rate is dependent of a boxer’s gender. The extent of this calculation is affected by the nature of the data collected. The data that was collected for males and females consisted of high win rate percentages, and in boxing, when there is an individual who has won 70% of his matches, there is sure to be an athlete who has lost 70% of his matches as well. The investigation shows that there is a very low correlation between reaches and win rate for boxers regardless of their gender. This outcome could have been affected because of one of the mentioned limitations above, where boxers of similar size and weight are placed in the same class and fight, so reach becomes less of a factor for victory as compared to strength, speed, and tactics. Works Cited Boxrec Boxing Records Ratings. 4 November 2012 http://boxrec. com/ratings. php. Boxrec. Boxrec Boxing Records. How to cite Math Studies Sl Internal Assessment, Essay examples

Business Communication Cultural Festivals

Question: Discuss about theBusiness Communicationfor Cultural Festivals. Answer: Introduction It is important to be aware of the cultural differences before entering or starting a completely new business in the market (Mitchell et al., 2012). As the cultural festival of New Zealand determines the buying decisions and preferences of the consumer, therefore, it will help an organisation to continue its business in New Zealand. Discussion According to Del Barrio et al. (2012), during the cultural festivals there are more possibilities of trading products rather than other times as the customers feel influenced during the cultural festivals for buying products. The emotion instinct of the inhabitants of New Zealand determines to buy products during the cultural festivals like Pasifika Folk festivals, Parihaka Peace festival music festivals and various religious festivals. From the recent researches, it has been clarified that during all of these mentioned festivals, the buying capacity of the inhabitants of New Zealand has been increased by 29%, which clearly denotes the success of the business policy and strategy of the existing companies (Kostopoulou et al., 2013). Most of the organisations in New Zealand have established effective strategies, such as providing seasonal and flash sales, discounts during the festive season in order to attract a large number of customers. As during the cultural festivals, there are tra ditions of wearing the traditional attires, therefore, the apparel industry of New Zealand is greatly influenced during the cultural festivals. Even the food industry is influenced during the cultural festivals and the famous festivals involve Maori and Kiwi cultural festivals. Tourism industry is benefitted in immense manner because of the cultural festivals (Csapo, 2012). Conclusion Even the management of the organisation follows the business the business etiquette during the cultural festivals, as it possesses an adequate capability to influence the entire business operation of the company. An organisation has to make adequate products according to the values, beliefs, knowledge and attitudes of the cultural festivals of New Zealand. Recommendations Although every organisation has understood the importance of cultural festivals and the shopping preferences of the customers during the cultural festivals of New Zealand, still the following recommendations will help the organisations to earn more sales revenue: The organisations should have gathered more knowledge regarding the tradition and culture of New Zealand for offering products that are more appropriate to the customers. The organisations should improve their communication process in order to collect feedback from the customers, which will help to produce effective products. References Csapo, J. (2012).The role and importance of cultural tourism in modern tourism industry. INTECH Open Access Publisher. Del Barrio, M. J., Devesa, M., Herrero, L. C. (2012). Evaluating intangible cultural heritage: The case of cultural festivals.City, Culture and Society,3(4), 235-244. Kostopoulou, S., Vagionis, N., Kourkouridis, D. (2013). Cultural festivals and regional economic development: Perceptions of key interest groups. InQuantitative methods in tourism economics(pp. 175-194). Physica-Verlag HD. Mitchell, R., Charters, S., Albrecht, J. N. (2012). Cultural systems and the wine tourism product.Annals of Tourism Research,39(1), 311-335.