Final Project Bryant/Smith Manual Case 7: Tom’s Used Mustangs Applied Managerial Statistics I. Executive Summary The data file named “MUSTANGS”‚ contains observations on 35 used Mustangs with a variation of 10 different characteristics[1]. This file was used to prepare a report on the influence of various options on asking price and to relay how this information could be used to set prices on used Mustangs. Statistical analysis by Hypothesis Testing and Multiple Regression Analysis
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Catherine Davison October 22‚ 2013 Summary #4 Chapter 8 – Post Hoc Rides Again The Post – hoc analysis which is the cause and effect problem. Methods of presenting cause and effect: 1) present a result without a significance value 2) use untestable assumptions 3) use precision and accuracy interchangeably 4) perform nonsensical test that sound good. Keep in mind that a statistic is only worthwhile when it satisfies the assumptions on the test. Knowing whether the assumptions are met is
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1. Introduction1 2. Problem Statement1 3. Hypothesis1 4. P-value1 5. Statistical summary2 6. 95% confidence interval 2 7. Conclusion3 Appendix 14 1. Introduction This report is about the case study of PAR‚ INC. From the following book: Statistics for Business an Economics‚ 8th edition by D.R. Anderson‚ D.J. Sweeney and Th.A. Williams‚ publisher: Dave Shaut. The case is described at page 416‚ chapter 10. 2. Problem statement Par‚ Inc. has produced a new type of golf ball. The company wants
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| Course Project: AJ DAVIS DEPARTMENT STORES | | Part A | | | | The following report presents the details of the statistical analysis of the data collected from a sample of fifty credit customers of the department AJ Davis department store chain. The data collected was based on five variables‚ which were location‚ income‚ size‚ and years at current location and credit balance. The first variable analyzed was Location. The location data is a categorical variable; this was further
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DS BST 322 Independent Project Background of the study: The data in the dataset comes from a longitudinal study of low-income women in four urban communities. In the original study‚ extensive information was collected in 1999 (Wave 1) and 2001 (Wave 2) from about 4‚000 women. A major purpose of the study was to understand the life trajectories of these women and their children during a period of major changes to social policies affecting poor people in the United States. The sample
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| Merola Resort Properties | | | Group 2Team 2 | Statistic Assignment - Lecturer: Sienney Liu | | Team members: Nguyen Ngoc Bao Chau s3408641Dinh Bach Nga s3410233Huynh Minh Khoa s3409594 | QUESTION 1: Use Excel to create a histogram which displays the frequencies of different satisfaction levels collected from the guests in each of the two hotels. Be sure to include the two Frequency Distribution tables with your two histograms. Bin | Frequency |
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Descriptive and Inferential Statistics Statistical methods in psychology have two main branches‚ which are descriptive and inferential. They each play a major part in the data that is collected for research and other studies. This paper will show the functions of statistics‚ how descriptive and inferential statistics are defined and the relationship between the two. Statistics is a necessary tool in psychology. It provides data for research studies as well as providing background information and
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Everywhere you go‚ everything you see‚ statistics is all around. I for one‚ did not realize how important and relevant statistics was in our everyday lives until taking this course. Everything is run by statistics; the kind of coffee available in Dunkin’ Donuts‚ the flavors of ice cream at Dairy Queen‚ and even the clothes we buy in stores. Statistics evaluates what works in our growing and complex society nowadays. All of these selections would not be available to us without the statistical
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chain store AJ DAVIS. The 1st individual variable considered is Location. It is a categorical variable. The three subcategories are Urban‚ Suburban and Rural. Since this is a categorical variable‚ the measures of central tendency and descriptive statistics has not been calculated for this variable. The frequency distribution and pie chart are given as follows: Frequency Distribution: Location Frequency Urban 21 Suburban 15 Rural 14 From the frequency distribution and pie chart‚ it is evident
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How could graphics and/or statistics be used to misrepresent data? Where have you seen this done? Statistics are of value to us all. As learned throughout the readings for this week‚ they are there to provide us vast amount of data related to health care‚ including why a drug may be indicated for a certain treatment (or the likelihood of it working); parameters for disease signs and symptoms; and even the prevalence of certain disease(s) within our areas to ensure competent care can be provided
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