...Psychology 205 Athleticism vs Attractiveness Athleticism vs. Attractiveness Page 1 Abstract This study focused on the effect that being an athlete has on how attractive a person is found by those around them. 6 athletes, 3 male and 3 female (baseball/softball, lacrosse, and soccer players) were selected and photos of them either in their sports uniform or in their everyday clothing were shown to 200 random individuals in Shenendehowa High School East across a time span of one week. Those shown a photo of an athlete in their sports uniform were not also shown the photo of that same athlete in their everyday clothing, and those shown a photo of an athlete in their everyday clothing were not also shown the photo of that same athlete in their sports uniform. A hypothesis test performed on the resulting averages of the surveys handed out to participants showed no significant results. According to our findings, the fact that someone is an athlete has no effect how how attractive they are found by those around them. Page 2 Much research has been done on the topic of attractiveness and qualities that make people attractive. Attractiveness is a very broad topic that is hard to pinpoint because what is deemed “attractive” differs greatly from person to person and there is no set guidelines to follow that ...
Words: 3159 - Pages: 13
...Chapter 1-4 1. Classify each variable as qualitative (QL) or quantitative (QT). (Tick your answers in the correct category) | | QL | QT | a. | Colors of automobiles at the faculty parking lot | ̷̷ | | b. | Number of desks in the classrooms | | ̷̷ | c. | Classification of children in a day care center (infant, toddler, preschool) | ̷̷ | | d. | Weight of fish caught at Tasik Cini | | ̷̷ | e. | Number of pages in statistics textbooks | | ̷̷ | f. | Religion of students enrolled in UNITAR | ̷̷ | | 2. Classify each variable as discrete (D) or continuous (C). (Tick your answers in the correct category) | | D | C | a. | Number of loaves of bread baked each day at a bakery | ̷̷ | | b. | Incomes of single parents who attend a part-time course | ̷̷ | | c. | Lifetimes of batteries in a tape recorder | | ̷̷ | d. | Number of pizzas sold last year in Malaysia | ̷̷ | | e. | Weights of newborn infants at a certain hospital | ̷̷ | | f. | Water temperature of the sauna at a health spa | | ̷̷ | 3. Classify each as nominal-level (N), ordinal-level (O), interval-level (I) or ratio-level ®. (Tick your answers in the correct category) | | N | O | I | R | a. | Ages of students enrolled in a martial arts course | ̷̷ | | | | b. | Rankings of weight lifters | | ̷̷ | | | c. | Temperature of automatic popcorn poppers | | | | ̷̷ | d. | Marital status of respondents to a survey on study habits | ̷̷ | | | | e. |...
Words: 2803 - Pages: 12
...In “The Short Supply of Tall People: Competitive Imbalance and the National Basketball Association” (2005), Berri, Brook, Frick, Fenn and Vicente-Mayoral try to provide an explanation for whether a “short supply of tall people is a factor that drives the persistent level of competitive imbalance found in the NBA” (p. 1030). Through testing this hypothesis, the authors attempt to offer a broader view on competitive imbalance in sports, as the traditional literature has generally focused on “only one sport at a time and argued that the distribution of wins is a factor within the reach of league policy” (Berri et al., 2005, p. 1037). To improve the distribution of wins within the league, the institutions have imposed a number of rules, including...
Words: 978 - Pages: 4
...John graduated from NUS Business School with a first class honour. He is a very potential entrepreneur in his age. After graduation, John got an offer from NUS Business School to work as teaching assistant for annual salary of $250,000. On the other hand, John had some other things in mind which is he planned to take over his father’s factory and manufacture his own product - a shoe line production. There are 3 types of shoes that John wants to produce that are high heels, sport shoe and flats and the price of the shoe are $40, $35, $25 respectively. Before starting the manufacturing process, he faces two choices, whether to do market survey or not to do market survey. Market survey will cost John $100,000 but this market survey will help John to determine the demand of market better because it is based on previous year sales record. More details, the total demand obeys a normal distribution with the mean of 10,000 and standard deviation 2,000 without the market survey; and the mean of 12,000 and standard deviation 1,000 with the market survey. Productions of shoes will involve variable cost and fixed cost. Variable cost of production for a pair of shoe is $12. Fixed costs include labour, machine, electricity and rental of factory. The fixed cost for machine, electricity and...
Words: 814 - Pages: 4
...Standard deviation http://en.wikipedia.org/wiki/Standard_deviation, From Wikipedia, the free encyclopedia In probability and statistics, the standard deviation of a probability distribution, random variable, or population or multiset of values is a measure of the spread of its values. It is usually denoted with the letter σ (lower case sigma). It is defined as the square root of the variance. To understand standard deviation, keep in mind that variance is the average of the squared differences between data points and the mean. Variance is tabulated in units squared. Standard deviation, being the square root of that quantity, therefore measures the spread of data about the mean, measured in the same units as the data. Said more formally, the standard deviation is the root mean square (RMS) deviation of values from their arithmetic mean. For example, in the population {4, 8}, the mean is 6 and the deviations from mean are {-2, 2}. Those deviations squared are {4, 4} the average of which (the variance) is 4. Therefore, the standard deviation is 2. In this case 100% of the values in the population are at one standard deviation of the mean. The standard deviation is the most common measure of statistical dispersion, measuring how widely spread the values in a data set are. If the data points are close to the mean, then the standard deviation is small. As well, if many data points are far from the mean, then the standard deviation is large. If all the data values are equal, then the...
Words: 3023 - Pages: 13
...Characterize the historical return, risk, and risk-return relationship of the stock, bond and cash markets. Examining Table 9.2, it is clear that the stock market has earned about double the return since 1950 than bonds. Bonds have earned about 50% higher return than the cash markets. The risk in the stock market is also higher than the bond and cash markets according to the standard deviation measurement (Table 9.4). Another illustration of the high risk is that the stock market frequently losses money and sometimes does not earn more than the bond and cash markets over short periods of time (Table 9.2). The risk-return relationship tells us that we should expect higher returns for the riskier market. We do see higher realized returns over the long term to the higher risk asset classes. LG3 3. How do we define risk in this chapter and how do we measure it? Risk is defined as the volatility of an asset’s returns over time. Specifically, the standard deviation of returns is used to measure risk. This computation measures the deviation from the average return. The idea is to use standard deviation, a measure of volatility of past returns to proxy for how variable returns are expected to be in the future. LG3 4. What are the two components of total risk? Which component is part of the risk-return relationship? Why? Total risk includes firm specific risk and market risk....
Words: 6357 - Pages: 26
...Characterize the historical return, risk, and risk-return relationship of the stock, bond and cash markets. Examining Table 9.2, it is clear that the stock market has earned about double the return since 1950 than bonds. Bonds have earned about 50% higher return than the cash markets. The risk in the stock market is also higher than the bond and cash markets according to the standard deviation measurement (Table 9.4). Another illustration of the high risk is that the stock market frequently losses money and sometimes does not earn more than the bond and cash markets over short periods of time (Table 9.2). The risk-return relationship tells us that we should expect higher returns for the riskier market. We do see higher realized returns over the long term to the higher risk asset classes. LG3 3. How do we define risk in this chapter and how do we measure it? Risk is defined as the volatility of an asset’s returns over time. Specifically, the standard deviation of returns is used to measure risk. This computation measures the deviation from the average return. The idea is to use standard deviation, a measure of volatility of past returns to proxy for how variable returns are expected to be in the future. LG3 4. What are the two components of total risk? Which component is part of the risk-return relationship? Why? Total risk includes firm specific risk and market risk....
Words: 6357 - Pages: 26
...471 5495 Email: hsu.anne@gmail.com Peer reviewed Do corporations who invest in sponsorship perform better? Examining five years of sponsorship spending data and business performance indicators of more than 50 US-based corporations, this case study analyses the relationship between a company’s investment in sponsorship and its business performance. The results indicate that as a group corporations that consistently invested in sponsorship outperformed market averages and those who spent at an above average level outperformed those who spent at a below average level. Executive summary In 2009, North American-based companies spent a total of US$16.51 billion on sponsorship, 68% of which (US$11.28 billion) was spent with sports properties such as the US Olympic Committee, the National Football League and hundreds of local teams and athletes (IEG, 2010). However, without a universally accepted measurement metric (such as Gross Rating Points for broadcast media expenditures), many corporations 352 have struggled to compare the effectiveness of sponsorship against other more traditional marketing tactics (Meenaghan, 1999). Many have studied sponsorship’s impact on business results, such as increases in sales and market share...
Words: 7551 - Pages: 31
...Question The following lists various ways of describing types of data or variables: A. nominal B. ordinal C. interval, discrete, cross-sectional D. interval, continuous, cross-sectional E. interval, discrete, time-series F. interval, continuous, time-series G. ratio, discrete, cross-sectional H. ratio, continuous, cross-sectional I. ratio, discrete, time-series J. ratio, continuous, time-series Place one of the letters, A thru J, in each of the spaces provided which best describes each of the following data or variables. _____ the reported weight of a diet plan participant every Friday over the past 6 months _____ the exact time that it took each of 50 students to complete a midterm exam _____ the school colours of each of 100 North American universities _____ highest level of education completed by each of 100 senior citizens in South America (elementary, high school, community college, university) _____ the recorded high temperature in each of 100 North American cities in May, 2014 _____ the number of years of education completed by a random sample of 50 senior citizens in Canada Question The following lists various types of basic sampling schemes: A. simple random sampling B. systematic sampling C. stratified random sampling D. cluster sampling E. judgment sampling F. convenience sampling G. focus groups Place one of the letters, A thru G, in the spaces provided which describes which sampling scheme is being used...
Words: 1998 - Pages: 8
...QUANTITATIVE METHODS AND ANALYSIS Fundamentals of Statistics Raymond Lawson AIU Online Virtual Campus Abstract This paper will discuss the analysis of two sets of data. The mean, median, and mode will be analyzed and charted. The standard deviation will also be discussed along with the variance. A summary of the data and its results will be discussed in conclusion. Fundamentals of Statistics Statistics are used for many different things in our lives. We have used them to in order to try and figure out who is the best at a sport or what company may give us the best return on our investment. The bottom line is statistics have become a part of our everyday life. We are going to use statistics to answer some questions we have about people and how they feel about their jobs. For this analysis we are looking at two fields of data. The first is the gender and the second is the extrinsic. We have decide to examine this data to help us understand the difference in how the two genders feel about where they work and how their feelings rate differently. Let’s first take a look at the gender of those surveyed. The mean of those surveyed by gender is mostly female. We will also look at the mean of the extrinsic job satisfaction. The scale goes from 1 being the least satisfied to 7 as the most satisfied. The mean shows that on average both genders are satisfied fairly equal to each other. Here are the charts. This shows a mean of 1.56667 which means that there were more females...
Words: 633 - Pages: 3
...Yinson Holding Berhad and YTL Power. While, the stock prices of 5 United State public listed company named by Adobe System INC, Alaska Air Group INC, Apple INC, The Aes Corporation and The NewYork Mellon Corporation. For stock prices of 5 United Kingdom public listed company named by Barclay, Bg Group, Big Yellow Group, Black Mount and Bovis Homes and lastly for the stock prices of 5 Indonesia public listed company named by Astra International, Bank Central Asia, Bank Danamon Indonesia, Kimia Farma and Unilever Indonesia. We also are required to demonstrate and explain the computations of annual return, risk, Sharpe ratio, return, covariance, beta, Treynor Ratio, portfolio standard deviation, and build a graph. THEORETICAL CONCEPTS In this assignment, we used the formula of Variances, Annual, Standard Deviation, Covariance, Correlation Coefficient, Beta, Variance Of Portfolio, Risk, Sharpe Ratio, Treynor Risk 1) Variance Variance measures how far a set of numbers is spread out. The variance measures how far each number in the set is from the mean. Variance is calculated by taking the differences between each number in the set and the mean, squaring the differences (to make them positive) and dividing the sum of the squares by the number of values in the set. 2) Annual...
Words: 2070 - Pages: 9
...AP Psychology Midterm Study Supplements Unit I: Psychology’s Perspectives & Treatments [pic] [pic] [pic] [pic] [pic][pic] | | | | |MECHANISM |DESCRIPTION |EXAMPLES | |1. denial |Failure to accept reality |Refusing to accept the death of a close | | | |friend or relative; refusing to accept that| | | |your relationship with a romantic friend is| | | |over | |2. displacement |The transfer of negative feelings about someone to |You are very angry with your mother and you| | |someone else |take out that anger in dealing with your | | | |sister or best friend | |3. projection |Putting (projecting) negative feelings on someone else |Blaming your teacher for failing a test | | ...
Words: 495 - Pages: 2
...Introduction Sport Obermeyer, Ltd is an American sportswear manufacturer based in Aspen, Colorado. Founded by a creative German emigrant, it is a successful provider of various skiing apparels for all ages. Being successful for over 40 years, Obermeyer had thorough experience in providing high quality clothing in the middle-higher price range. In order to keep its competitive strengths, outsourcing to the Far East started around the early nineties to lower production costs. The product portfolio was differentiated into several self-made customer categories, keeping excellent price/value ratio and functionality well in focus. As competition kept rising rapidly, Obermeyer put even more emphasis on its costing strategy, which on the other hand brought tradeoffs. Production in Hong Kong and recently also in China required significant minimum orders, which at the end of the season could have resulted in excess, unsold products. On the other hand, underestimating demand was similarly painful: not being able to fulfill customer requests resulted in lost profits. All of Obermeyer’s production were coordinated by Obersport Ltd, a joint venture between Obermeyer and his Chinese business partner. This company organized subcontractors from mainland China and Hong Kong to produce Obermeyer clothing. Recently, a new plant was built in China to utilize its significantly lower production costs compared to Hong Kong. The tradeoff, however was that minimum order quantities were higher in China...
Words: 3635 - Pages: 15
...Introduction Sport Obermeyer is a leader in fashion skiwear manufacturing. Skiwear manufacturing is a competitive field with distinct challenges. Skiwear market is just four months long but the design and production process takes over 16 months to complete. Accurate estimates of demand become available only after a year into design and production cycle. The Company also faces long lead times from textile and accessories suppliers. This forces the company to accurately predict the demand early accurately and place the production orders that meet the forecasted demand. This case discusses the challenges faced by Wally Obermeyer in committing to specific productions quantities Sport Obermeyer will offer in 1993-1994 ski season. Wally has collected the demand forecast of each style from the members of the buying committee. Wally’s challenge is to make appropriate production commitments for the coming year based on this demand forecast. Accurate forecasts of expected demand will help the company handle the high variability in customer demand and long lead times in getting the products to the market. Increases in competition and product variety have made accurate demand prediction very difficult. The Greater product variety and more intense competition have made accurate prediction very difficult. A second challenge for Wally is to decide how to allocate production between factories in Hong Kong and China. Obermeyer Operational Challenges and Competitive Priorities 1. Product related...
Words: 4231 - Pages: 17
...because it is a collection of ages for all people in the apartment building. 2. Sample, because it is a collection of ages for all people in the apartment building, but there are other apartment buildings 3. Population, because it is a subset of all apartment buildings in the city. 4. Sample, because it is a collection of ages for some people in the apartment building. 1. Determine whether the data set is a population or a sample. Explain your reasoning. The salary of each baseball player in a league Choose the correct answer below 1. Sample, because it is a collection of salaries for some baseball players in the league 2. Sample, because it is a collection of salaries for all baseball players in the league, but there are other sports 3. Population, because it is a collection of salaries for all baseball players in the league 4. Population, because it is a subset of all athletes 2. Determine whether the underlined value is a parameter or a statistic. The average age of men who have walked on the moon was 39 years, 11 months, 15 days. Is the value a parameter or a statistic? Parameter Statistic 2 Determine whether the data set is a population or a sample. Explain your reasoning. The number of pets for 20 households in a town of 300 households. Choose the correct answer below. 1. Sample, because the collection of the number of pets for 20 households is a subset of all households...
Words: 3015 - Pages: 13
