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McGraw-Hill/Irwin Business Research Methods, 10eCopyright © 2008 by The McGraw-Hill Companies, Inc. All Rights Reserved. Chapter 17 Hypothesis Testing
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17-2 PulsePoint: Research Revelation 96 The percent of U.S. college students interviewed at 375 universities in 2006 who misidentified the country of origin of products made in Finland (Nokia).
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17-3 Hypothesis Testing Deductive Reasoning Inductive Reasoning
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17-4 Statistical Procedures Descriptive Statistics Inferential Statistics
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17-5 Hypothesis Testing and the Research Process
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17-6 Types of Hypotheses Null –H 0 : = 50 mpg –H 0 : < 50 mpg –H 0 : > 50 mpg Alternate –H A : = 50 mpg –H A : > 50 mpg –H A : < 50 mpg
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17-7 Two-Tailed Test of Significance
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17-8 One-Tailed Test of Significance
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17-9 Decision Rule Take no corrective action if the analysis shows that one cannot reject the null hypothesis.
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17-10 Statistical Decisions
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17-11 Probability of Making a Type I Error
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17-12 Exhibit 17-4 Probability of Making A Type I Error
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17-13 Factors Affecting Probability of Committing a Error True value of parameter Alpha level selected One or two-tailed test used Sample standard deviation Sample size
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17-14 Probability of Making A Type II Error
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17-15 Statistical Testing Procedures Obtain critical test value Interpret the test Interpret the test Stages Choose statistical test State null hypothesis Select level of significance Compute difference value
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17-16 Tests of Significance NonparametricParametric
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17-17 Assumptions for Using Parametric Tests Independent observations Normal distribution Equal variances Interval or ratio scales
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17-18 Advantages of Nonparametric Tests Easy to understand and use Usable with nominal data Appropriate for ordinal data Appropriate for non-normal population distributions
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17-19 How to Select a Test How many samples are involved? If two or more samples are involved, are the individual cases independent or related? Is the measurement scale nominal, ordinal, interval, or ratio?
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