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Chapter 10 Statistical Inference for Two Samples Twice as much fun as one sample
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10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Two populations – count them, 1,..2
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More on Two Normals Assumptions
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Oh yes, the test statistic
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Example 10-1
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10-2.2 Type II Error and Choice of Sample Size Two-sided alternative: One-sided alternative: Now go to the Operating Characteristic Curves (VIIa-d)
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Sample Size Formulas
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Example 10-3
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10-2.3 Confidence Interval on a Difference in Means, Variances Known
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CI Example 10-4
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Other Useful Formulae Upper Confidence Bound Lower Confidence Bound Choice of Sample Size
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10-3.1 Hypotheses Tests for a Difference in Means, Variances Unknown Case 1:
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The Two-Sample or Pooled t-Test
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Example 10-5 We must do a difference of means test on this data.
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Example 10-5
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Minitab Output for Example 10-5
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10-3.2 Type II Error and Choice of Sample Size
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Chart VII(e) d =.74 =.15 d =.74 =.15
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10-3.1 Hypotheses Tests for a Difference in Means, Variances Unknown Case 2: is distributed approximately as t with degrees of freedom given by
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Example 10-6
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The Data in a Normal Prob Plot
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Example 10-6 (steps 1-5)
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Example 10-6 (steps 6- 8)
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Mean of Two Normal Distributions – Variance Unknown – Confidence Intervals Case 1:
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Mean of Two Normal Distributions – Variance Unknown – Confidence Intervals Case 2:
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The Next Example Louie Lush has collected the following data concerning the number of ounces of beer consumed per week by the typical UD student and the typical Wright-State student. Assuming the population variances are equal construct a 90% confidence interval for the difference in mean beer consumption between the two schools. Data: Ounces per student per week Wright State Univ of Dayton Sample mean60.465.3 Sample Variance31.444.82 Sample size1012 Pooled Variance:
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More Next Example Wright State Univ of Dayton Sample mean60.465.3 Sample Variance31.444.82 Sample size1012 Unequal Variances: If you are interested in establishing a tavern near one of the two campus which one would you choose?
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On to Excel…then Minitab These 2-sample tests are great but what can Excel do for me? To the Ever Excellent Excel Examples
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Happiness is working a stat problem. Next Class I always work all the problems in the book.
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