The sinking of the Titanic in April 1912, with more than 1,500 lives lost, can be used to conduct interesting statistical analyses. Demographic information on the passengers includes age, gender, passenger class and point of embarkation. Both crosstabulations and logistic regression tables based on an available dataset provide interesting results about gender and class distinctions in place at that time in history.
The sinking of the Titanic in April 1912, with more than 1,500 lives lost, can be used to conduct interesting statistical analyses. Demographic information on the passengers includes age, gender, passenger class and point of embarkation. Both crosstabulations and logistic regression tables based on an available dataset provide interesting results about gender and class distinctions in place at that time in history.
Every year MBA programs across the country advertise for prospective students. They promote the academic excellent of their programs, the uniqueness of their offerings, the quality of their faculty and a variety of other factors. In a competitive market, the goal is to attract the brightest and the best. Many schools claim that graduates of their programs will see large salaries on graduation. This is clearly a very important part of many students' decision criteria. In fact, the Financial Times rating of MBA programs uses graduates' salaries as a large component of their rating system. A student has access to the salary data from a prominent MBA school in North America. She sits down to analyze the data and see what factors are associated with higher salaries.
Two avid golfers were having a debate over whether scores were lower on Sundays. One of the golfers believed that courses were made easier on Sunday for viewers who wanted to see low scores. The other golfer countered that all the pressure on the golfers on Sunday would surely raise their scores and, in fact, the television coverage would make things worse. Using a dataset from the 2011 season, various questions about golfers and golf tournament can be addressed. These include: Are scores different from the first day to the last day? Are scores different across the four rounds? Are young people doing better than those who are older? Do long hitters have lower scores? How important is driving accuracy in determining one's score? Do people putt for dough and drive for show? The dataset is available from the case author. The dataset contains over 1,000 responses across the four generations (Veterans, Boomers, Gen X, Gen Y). It also contains enough responses to deal with the question of whether there were three sub-generations of Boomers.
In 2011, two avid golfers were having a debate over whether scores were lower on Sundays. One of the golfers believed that courses were made easier on Sunday for viewers who wanted to see low scores. The other golfer countered that all the pressure on the golfers on Sunday would surely raise their scores and, in fact, the television coverage would make things worse.<br><br>Using a dataset from the 2011 season, various questions about golfers and golf tournament can be addressed. These include: Are scores different from the first day to the last day? Are scores different across the four rounds? Are young people doing better than those who are older? Do long hitters have lower scores? How important is driving accuracy in determining one’s score? Do people putt for dough and drive for show?<br><br>The dataset is available from the case author.<br><br>The dataset contains over 1,000 responses across the four generations (Veterans, Boomers, Gen X, Gen Y). It also contains enough responses to deal with the question of whether there were three sub-generations of Boomers.
Every year MBA programs across the country advertise for prospective students. They promote the academic excellence of their programs, the uniqueness of their offerings, the quality of their faculty and a variety of other factors. In a competitive market, the goal is to attract the brightest and the best. Many schools claim that graduates of their programs will see large salaries on graduation. This is clearly a very important part of many students’ decision criteria. In fact, the Financial Times rating of MBA programs uses graduates’ salaries as a large component of their rating system. A student has access to the salary data from a prominent MBA school in North America. She sits down to analyze the data and see what factors are associated with higher salaries.
A consultant had been asked by multiple clients for advice on how to manage generational differences in the workplace. According to experts in the area of generational differences, generations are defined by the watershed events and conditions that individuals are exposed to in their formative years. These experts believed that these common events and conditions shape individuals' attitudes, which in turn influence their core beliefs and work values. The consultant, like many others, felt that generational differences were overhyped in the literature. Nevertheless, her client wanted answers and she set out to find them by collecting a dataset on work values.The dataset contained over 1,000 responses across the four generations (Veterans, Boomers, Gen X, Gen Y). It also contained enough responses to deal with the question of whether there were three sub-generations of Boomers.
A consultant had been asked by multiple clients for advice on how to manage generational differences in the workplace. According to experts in the area of generational differences, generations are defined by the watershed events and conditions that individuals are exposed to in their formative years. These experts believed that these common events and conditions shape individuals’ attitudes, which in turn influence their core beliefs and work values. The consultant, like many others, felt that generational differences were overhyped in the literature. Nevertheless, her client wanted answers and she set out to find them by collecting a dataset on work values.<br><br>The dataset contained over 1,000 responses across the four generations (Veterans, Boomers, Gen X, Gen Y). It also contained enough responses to deal with the question of whether there were three sub-generations of Boomers.
A marketing company has collected a large dataset on brand equity for the fast-food and travel sectors. They have come up with their way of measuring "brand equity." Various statistical techniques are used to assess the concept of brand equity. These include descriptive statistics, crosstabs, ANOVA, and MANOVA.
A market research company has collected a large dataset on brand equity for the fast food and travel sectors. It has come up with a way of measuring brand equity. Various statistical techniques are used to assess the concept of brand equity. These include descriptive statistics, crosstabs, ANOVA, and MANOVA.