in the second column. |Hypothesis |Method | |Mass distribution of sales across video titles shifted towards |Kolmogorov-Smirnov (KS) statistic | |the tail? Example: toward more obscure titles that each | | |generates a relatively low level of sales? |
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CREW TENURE Inference: Let the regression equation be represented by , where y and x are the variables, a is the y-axis intercept. The R square statistic has a value 0.41 which signifies less than half the points fit the regression line. Now we represent the NULL HYPOTHESIS as H0(b=0) and ALTERNATE HYPOTHESIS as Ha(b≠0). The p-statistic value corresponding to the Mtenure is 0.009 which is within a significance level of 0.05 so the null hypothesis can be accepted and the regression result
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Answer of Discussion Questions Q1. Given, The mean daily hold time μ = 99.67 s; Standard Deviation σ = 24.24 s The targeted hold time x = 110 s The fraction of days when hold time exceeded 110 s = P(x>110) = ? Answer: Mean of a distribution (μ) and a data point (x) is related by the following equation: x = μ ± zσ For x > 110 s; [pic] Now, [pic] Value of [pic] is area under normal curve between z = 0 to z = 0.43. Thus it can be seen that fraction of days when call center failed to meet
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States the assumption (numerical) to be tested, for Example: The average number of TV sets in U.S. Homes is at least three (H0: μ ≥ 3). 1. Is always about a population parameter, not about a sample statistic. ✓ H0: μ ≥ 3 X H0: [pic] ≥ 3 Always begins with the assumption that the null hypothesis is true, similar to the notion of innocent until proven guilty. Refers to the status quo
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Ford Mustang Statistical Report To: Tom Jones, Director of Sales From: Statistician Date: 10/17/2010 Subject: Analysis of factors affecting selling price of Ford Mustangs Per your request, I am providing a statistical analysis of the factors affecting the selling price of Ford Mustangs. There are nine (9) variables that affect the selling price of Ford Mustangs. They are: Convertible or not Convertible, automatic or manual transmission, air conditioning or no air conditioning, GT model
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Marketing Research Fall 2011 Exercise: SPSS 5. Hypothesis test The MBA programme leader is interested to know if there is any significant average age difference between males and females and if there is which is the older group. a. Suggest a null hypothesis and an alternative hypothesis for testing the mean age for male and female students. μ0: The average ages of males and females are the same. μ1: The average ages of males and females are not the same. b. Carry out
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| Syllabus School of Business QNT/TM561 Version 2 Research and Statistics for Process Control | Copyright Copyright © 2009, 2005 by University of Phoenix. All rights reserved. University of Phoenix® is a registered trademark of Apollo Group, Inc. in the United States and/or other countries. Microsoft®, Windows®, and Windows NT® are registered trademarks
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Process Improvement Plan Christina Scott OPS/571 March 19, 2012 Ray E. Mowery Process Improvement Plan In week one of this course, the students were asked by the instructor to select a process that the student performed on a daily basis. This student chose the task of driving to work. The student collected driving times for four weeks. This paper will cover the explanation of the control limits, including calculations and data used to determine them. The paper will discuss the effect of any
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Checkpoint 5 Complete Exercise 9.13 (The Video Game Satisfaction Case) on page 357 in your textbook A. H0 ≤ 42 versus Ha >42 b: z = (42.954 - 42)/(2.64/√64) = 2.891 Z values at 0.10 = 1.28 - Reject 0.05 = 1.64 - Reject 0.01 = 2.33 - Reject 0.001 = 3.09 - Accept Since we are dealing with the right side of the curve the z values are positive. c: Z = 2.891 therefore right side = 0.0019 Left side = 0.9981 Since p is = 0.0019 it less than 0.10, 0.05. 0.01 but greater
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Unit 1 - Fundamentals of Statistics Patricia Schneider American InterContinental University Abstract This paper is about the difference between qualitative data and quantitative data. If also will show how a qualitative data chart looks like and how the information is retrieved, it shows what type of information is put in a quantitative chart and how it is also retrieved. What standard deviation and variance is? Why charts and graphs are important tool for communicating facts and figures
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