cell phone bill in this city is μ = $42 Population proportion Example: The proportion of adults in this city with cell phones is π = 0.68 States the claim or assertion to be tested Is always about a population parameter‚ not about a sample statistic Is the opposite of the null hypothesis e.g.‚ The average diameter of a manufactured bolt is not equal to 30mm ( H1: μ ≠ 30 ) Challenges the status quo Alternative never contains the “=”sign May or may not be proven Is generally the hypothesis
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Descriptive Statistics Paper Descriptive Statistics Paper In research‚ the need to accurately produce results is imperative to efficient research. Team C’s hypothesis of what generates champion teams needs many tools provided in research to achieve a true answer. Team C has further simplified the meaning of champion team to any team whose team dynamics cause the team to have a winning season. With that being said‚ this paper will be focused on the research tools needed and the results
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CHAPTER 8 Introduction to Hypothesis Testing 8.1 Inferential Statistics and Hypothesis Testing LEARNING OBJECTIVES 8.2 Four Steps to Hypothesis Testing After reading this chapter‚ you should be able to: 8.3 Hypothesis Testing and Sampling Distributions 8.4 Making a Decision: Types of Error 8.5 Testing a Research Hypothesis: Examples Using the z Test 8.6 Research in Focus: Directional Versus Nondirectional Tests 8.7 Measuring the Size
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INTRODUCTION TO Statistics 1.1 WHAT IS STATISTICS? The word statistics derives from classical Latin roots‚ status which means state. Statistics has become the universal language of the sciences. As potential users of statistics‚ we need to master both the “science” and the “art” of using statistical methodology correctly. These method include: Carefully defining the situation Gathering data Accurately summarizing the data Deriving and communicating meaningful conclusions
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A point estimation is a sample statistic that gives a good guess about a population parameter. In the same way‚ a point estimate of the mean overpayment is simply a good guess about what the average overpayment for the population is. Investigating all 1‚000 claims and obtaining the overpayment amount for each would either be impractical‚ unfeasible or both. Thus‚ the auditor deems a sample size of 50 claims to be adequate and sufficiently representative of the entire population. The mean overpayment
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Gloria Vandello May 12‚ 2013 How are statistics used in your workplace? Statistics are used in the entire hospital‚ where I work. Before taking this class I didn’t gave it much thought of just how much statistics are being used in every floor. I guess I always believed that the word “statistics” was mainly used in the research department and that is where it should stay since it didn’t seem interesting enough to study. Now that I’m taking this class statistics seem to be all over my work place‚ just
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Business Research and Statistics | Copyright © 2012‚ 2011‚ 2009‚ 2008 by University of Phoenix. All rights reserved. Course Description This course prepares students to apply statistics and probability concepts to business decisions. Students learn important criterion for developing effective research questions‚ including the creation of appropriate sampling populations and instruments. Other topics include descriptive statistics‚ probability concepts
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assigned to find interval estimates for a population mean and a population proportion. b) Is finding an interval estimate an example of inferential or descriptive statistics? Explain. It is an interval estimate is an example of inferential statistics‚ as an estimate of the value of the population parameter is made based on sample statistics. c) An interval estimate (23.8‚ 30.6) is determined for the mean age of NSCC students. Identify the point estimate and the margin of error of the interval estimate
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PROJECT PART B: Hypothesis Testing and Confidence Intervals Math 533 Applied managerial Statistics. Instructor: Mr. Patrick Mayers. April 12‚ 2015 Guillermo H. Quintela. a. The average (mean) sales per week exceeds 41.5 per salesperson. The Null Hypothesis: The average (mean) sales per week is greater than or equal to 41.5 per salesperson. Ho:µ >= 41.5 The alternate Hypothesis: The average (mean) sales per week is less than or equal than 41.5 per salesperson. Ha:µ < 41.5 For a significance
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hypothesis. Draw the one-tail or two- tail test diagram. Step 2: Specify the level of significance. Determine the critical value (s). Step 3: Identify the test statistics to be used and calculate it. Step 4: Draw the conclusion. Formulae List Hypothesis Testing Test Statistics for Single Mean | | Test Statistics for Two Means | known | | 1 and 2 known | z* = x-μ0σn | | z* = x1-x2-δ0σ12n1+σ22n2 | unknown and n > 30 | | 1‚ 2 unknown and n1 n2 2 30 | z* = x-μ0sn
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