Practice with p-values Work through these problems with your computer partner and/or instructor. Answers follow the problem set. 1. Suppose we’ve done the computation of the Z test statistic. For each of the following situations determine the p-value that goes along with Z. a. Z = 2.12‚ two-sided test b. Z = 4.55‚ two-sided test c. Z = -1.40‚ lower-tail test 2. Suppose Z = 1.92.Which has a smaller p-value‚ the upper-tail test or the two-sided test? From this‚ is it more likely to have a
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Chapter 10 Statistical Inferences Based on Two Samples True/False 1. An independent sample experiment is an experiment in which there is no relationship between the measurements in the different samples. Answer: True Difficulty: Medium 2. When testing the difference between two proportions selected from populations with large independent samples‚ the Z test statistic is used. Answer: True Difficulty: Medium 3. In forming a large sample confidence interval for [pic]‚ two assumptions
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Business Statistics‚ 9e (Groebner/Shannon/Fry) Chapter 10 Estimation and Hypothesis Testing for Two Population Parameters 1) The Cranston Hardware Company is interested in estimating the difference in the mean purchase for men customers versus women customers. It wishes to estimate this difference using a 95 percent confidence level. If the sample size is n = 10 from each population‚ the samples are independent‚ and sample standard deviations are used‚ and the variances are assumed equal‚ then
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Diagnostic and Statistical Manual Critique The Diagnostic and Statistical Manual of Mental Disorders (DSM) has a long history‚ starting back during World War II. This paper will give a brief history of the DSM and provide some context for the DSM such as: What is it? What is it used for? Who uses it and why? DSM and diagnoses strengths and challenges will also be discussed. Some interesting literature about the DSM and it’s challenges will also be discussed. A big thing happened in the 1940’s
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STATISTICAL ANALYSIS OF THE DAILY PERFORMANCE OF THE NIGERIAN STOCK EXCHANGE (JULY 2006 – JUNE 2007) BY IKEGWU EMMANUEL M. F/HD/04/3740001 BEING A PROJECT PRESENTED AS A REQUIREMENT FOR THE AWARD OF HIGHER NATIONAL DIPLOMA IN STATISTICS PRESENTED TO THE DEPARTMENT OF STATISTICS‚ YABA COLLEGE OF TECHNOLOGY‚ YABA LAGOS. NOVEMBER 2007. CHAPTER ONE 1.0 INTRODUCTION Mobilisation of resources for national development has been the central focus of development economists. As a result
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REPORT REVIEW AND ANALYSIS Renika Hendry CTU-Online Applied Managerial Decision-Making MGMT 600 Phase 2 Individual Project Instructor: Joseph Cappa 10/14/10 Abstract With the National Sales meeting approaching‚ the Marketing department is requiring that every Regional Sales Manager do a short presentation to highlight how the consumers in their region don’t compare to the rest of the consumers in the whole United States. Since I am still working with the local Regional Sales Manager
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The Apple returns as response to whole market return and IBM return as explanatory variables gives the following regression equation : a. Apple Return = 0.0048 + 1.31 (Whole Market Return) + 0.22 (IBM Return) b. Both the variables have a VIF below 10 however after accounting for standard error both do not contain zero hence they are significant variables and explain the variation in apple returns by 21.13 percent which is the value of adjusted R square for the mentioned model. c. Therefore‚ the
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Lind‚ Chapter 13‚ Exercise 42 A sample of 12 homes sold last week in St. Paul‚ Minnesota‚ is selected. Can we conclude that as the size of the home (reported below in thousands of square feet) increases‚ the selling price (reported in $ thousands) also increases? a. Compute the coefficient of correlation. Coefficients Standard Error t Stat P-value Intercept 59.95717345 28.65750326 2.092198085 0.062896401 Home Size 31.69164882 24.44661008 1.296361692 0.223968044 The formula for the coefficient
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required to have some practical business and statistiacl knowledge. So for the completion of our B.B.A. degree this report is highly required of the couse Business Statistics (F-107)‚ to gain the parctial experience about the application of different statistical fourmulas is business and finance field. This report was assigned by our course instructer of this course‚ Ms. Huq‚ on 19th June‚ 2012. Objectives of the Report We have particularly prepared this report: * To know the theoretical aspect
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sample The t-test is a hypothesis test. There are seven steps for a hypothesis test. 1. 2. 3. 4. 5. 6. 7. State the null hypothesis State the alternative hypothesis State the level of significance State the test statistic Calculate Statistical Conclusion Experimental Conclusion Example One-Sample t-test The age of the head of household residents of Phoenix‚ Arizona has increased in the recent years. Ten years ago the average age of head of household in Phoenix‚ Arizona was 33.
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