Statistic Project 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:

I conducted a survey, asking 20 females and 20 males their favorite food group for my AP Statistics project. I surveyed on Wednesday, September 27 and on Thursday, September 28 at Marshall High School. They chose from protein, grain, vegetables, fruit, and dairy. From the data, I found that 10 males and 2 females liked protein best, 3 males and 2 females liked grains best, 1 male and 1 female liked vegetables best, 3 males and 13 females liked fruit best, and 3 males and 2 females liked dairy best. Half of the males liked protein best, while most females liked fruits best. The least amount of both males and females liked vegetables. From this data, we can see that males like protein more than females do, and females like fruit more than males

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

According to the website http://womenissues.about.com/cs/abortionstats/a/aaabortionstats.htm there are approximately 126,000 abortions conducted each day throughout the world. This website includes the abortion statistics of the world and breaks the data down to the demographics of the United States. It also discusses the decisions to have an abortion and the use of contraceptives in the United States. This was an informative website and included detailed statistics conducted by the Alan Guttmacher Institute. According to the website http://www.bls.gov/cps in 2000, gon average there were roughly 135 million employed and 6 million unemployed people in the labor force in the United States.h (p. 3) The websites definition of

The information in the table below refers to the 2008 model year product line of BMW automobiles. Identify the Individuals, variables, and data corresponding to the variables in the table below. Determine whether each variable is qualitative, continuous, or, discrete. Please refer to problems #51 and #53 on page 13 for examples.

Assuming unequal variances, the two sampled t-Test was applied on the data sets of female and male shoe sizes with the alpha value of 0.05. The null hypothesis was that the female and male shoe sizes have an equal mean while the alternative hypothesis was that female and male shoe sizes do not have an equal mean. With the degrees of freedom being 27, the t-statistic is -8.16. The probability that -8.16 is ≤ -1.70 is 4.5×10-9 for the one-tailed test. Also, the probability that -8.16 is ≤ ±2.05. is 9.1×10-9 for the two-tailed test. Given that both probabilities are under the alpha value of 0.05, the null hypothesis is therefore rejected, and the alternative hypothesis is accepted at the 95% confidence level.

Read the directions and write answers independently. 1. (L.2) Choose the sentence with correct capitalization and punctuation. A. Mrs. Brown catches the bus at the corner of Elm and N. Grove.

c. What kind of display would you use to show the association between job class and mode of

the correlation is 0.668; the equation of regression is CREDITS=11.7475*AGE-174.356; the slope is 11.7475 which is positive; when the predictor variable AGE increase, the response variable CREDITS also strongly increase; for instance, when AGE increase by 1, the CREDITS will increase 11.7475. There are some outliers may affect the correlation. Based on the graphs and data above, we can find out a student who is older with a litter lower GPA, but has very higher credits; the student with higher credits also has high GPA.

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?

In How to Lie with Statistics (Huff, 1954), Darrel Huff deciphers statistical examples and explains the means of deception that statistics and statisticians sometimes use to relay false information. Huff also conveys an underlying message of don’t believe everything you’re told, something him and my mother have in common. At first glance, a reader might think that this book will teach people how to actually lie using statistics, but that is not the case. It gives the reader a glimpse or a behind the curtain view of how easily it is to be deceived using numbers and how it is slyly achieved. Ironically he calls the book How to Lie with Statistics almost to tease his audience that the content in this book is not as it appears. To my utmost surprise, I actually rather enjoyed this book. It was a fairly simple read that was filled with new information and showed me how to look closer at statistical figures in the future. The humor was spot on so much, so that I even chuckled aloud occasionally. For the icing on the cake, I even expanded my vocabulary to learn fun words such as rotogravure.

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?

Starting in 1972, the General Social Survey (GSS) used a four-category response scale for respondents to answer a question on how they view their own health, known as the self-reported health question (SRH) (Smith 2005, 1). The four-categories used were: poor, fair, good, and excellent (Smith et al. 2017, 385) Starting in 2002, the GSS started using both a four and five-category scale for people to respond to the SRH (Smith et al. 2017,1537). The five-category scale used the same measures from the four-category scale, but also included “very good” as the fifth option. The question is: which response category form gives a better ability to determine SRH among people?

This case problem is related to a property purchase strategy. The president of Oceanview is deciding whether to bid for a property to build and sell condominiums. However, this depends on whether the state can change the zoning of the property to permit construction of condominiums. Here, the decision is whether to bid for the property, and chance events are firstly, whether the bid can be successful, and secondly, whether the state will approve the zoning change. To assess the likelihood that the state will approve the zoning change, the president can hire a market research service. Hence, the president is facing another decision as

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.