Descriptive Statistics Essay

Due to financial hardship, the Nyke shoe company feels they only need to make one size of shoes, regardless of gender or height. They have collected data on gender, shoe size, and height and have asked you to tell them if they can change their business model to include only one size of shoes – regardless of height or gender of the wearer. In no more 5-10 pages (including figures), explain your recommendations, using statistical evidence to support your findings. The data found are below:

and followed that season up in 1916 where he went 23-12 and leading the league with a 1.75

(1) A study of the number of cars sold looked at the number of cars sold at 500

Second was Joe. Their best pitcher was Eddie Cicotte with a 29-7 record. He was known as the “game changer”. Lefty Williams was a close second with a record of 23-11.

For this assignment we needed to compute the mean, median, and mode for five quantitative variables. The five that were computed in this assignment were number of total prior arrests, number of prior misdemeanors, number of total prior convictions, number of prior felony arrests, and number of drug convictions. The mean is defined as the average in a group of numbers, the median is the middle number in a group, and the mode is the most frequently occurring number in the group.

To view the research on a nominal scale, the research data can be drawn from the type of class. The word nominal is derived from the root word in Latin for name (Usable Stats, 2013). The name of the class, Psychological Statistics, is the nominal measurement for this research. When conducting this study, the study will only be measured during the course of this specific class. The results could drastically change when considering another type of class such as Quantitative Literacy as the cognitive understanding of such a collegic math class may be more optimal through a different course-delivery format.

The Oakland A’s were a poor team. They could not afford to shop for costly players like teams who were considered “rich” did. So, the A’s were bound by money to find “bargain” athletes. This problem repeatable showed up in baseball’s history and baseball management continued to handle the problem the same way- by blindly trusting the system. The overall question was how could a poor team improve their standings? How can they overcome the biggest hurdle of money without being financially unstable? Can a team win games without any big names in baseball? Billy Beane, a fruitless baseball player turned thriving general manager, revolutionized the baseball industry by finding a new solution to an old problem.

His 29.3 points and 10.3 assists per game are the highest per game averages in franchise history. On top of his prolific statistics, Robertson led the franchise to the playoffs six times. G- Nate Archibald: 1970-1976 Nate “Tiny” Archibald took over as the face of the franchise following the departure of Oscar Robertson. Although the expectations were high, Archibald more than delivered, establishing himself as a premiere talent during his six seasons with the team.

A pharmaceutical company is testing the effectiveness of a new drug for lowering cholesterol. As part of this trial, they wish to determine whether there is a difference between the effectiveness for women and for men. Using   = .05, what is the value the test statistic?

Why does the sampling distribution of the mean follow a normal distribution for a large enough sample size, even though the population may not be normally distributed?

In the world of major league baseball, the Oakland A’s defied the laws of baseball economics. The team spent only $34 million (the 2nd lowest payroll) had won 102 games and lost only 60 in 2001. On top of this, they finished first in their division and made the playoffs. Major baseball teams would hire high school players rather than college players. This made high school players costly. The Oakland A’s strategy is to hire college players to save on resources. They argued that college players have already gained substantial exposure and

Do Major League Baseball teams with higher salaries win more frequently than other teams? Although many people believe that the larger payroll budgets win games, which point does vary, depending on the situation. “…performances by individual players vary quite a bit from year to year, preventing owners from guaranteeing success on the field. Team spending is certainly a component in winning, but no team can buy a championship.” (Bradbury). For some, it’s hard not to root for the lower paid teams. If the big money teams, like Goliath, are always supposed to win, it’s hard not cheer for David. This paper will discuss the effects of payroll budgets on the percentage of wins for the 30 Major League

Major League Baseball is known as America’s favorite pastime, and MLB teams spend an extensive amount of money in the excess of a billion dollars with the ultimate goal to win the World Series. This learning team’s focus throughout this descriptive statistics paper is the MLB players’ performances, salaries, salary caps, and winning percentages. Though salaries will by no means be a trade for wins, the goal is to use the less experienced players and pay them a lower salary. Research has been done on whether or not player’s salaries and wins are connected.

The behavior was observed from a large sample of people. This included twenty people shopping alone and twenty people shopping in a group, for a total of forty subjects, each ranging in ages from approximately 19 to 40 years old. The subjects were observed from the time they entered the store until the time they left. The reasoning behind this was to see the buying behavior differences for the whole experience and figure out which areas of the store could be improved in order to appeal to groups of people shopping. The behaviors observed included the amount of time spent inside the store, the amount of money spent, the interactions with associates, and the areas of the stores that were navigated.

The objective of this chapter is to describe the procedures used in the analysis of the data and present the main findings. It also presents the different tests performed to help choose the appropriate model for the study. The chapter concludes by providing thorough statistical interpretation of the findings.