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H-SC MATH 121 - Lecture 38 - Independent Samples - Means 2

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Independent Samples: Comparing MeansThe t DistributionEstimating x1 –x2 and the t DistributionHypothesis TestingThe t StatisticComputationsSlide 8Slide 9The TI-83 and Means of Independent Samples – StatsSlide 11Slide 12The TI-83 and Means of Independent Samples – DataSlide 14Slide 15Paired vs. Independent SamplesSlide 17Slide 18Paired SamplesIndependent SamplesConfidence IntervalsSlide 22Slide 23ExampleThe TI-83 and Means of Independent SamplesIndependent Samples: Comparing MeansLecture 37Sections 11.1 – 11.2, 11.4Fri, Apr 6, 2007The t DistributionWhenever we do not know , we must use s1 and s2 to estimate .In this case, we will have to use the t distribution instead of the standard normal distribution, unless the sample sizes are large.Estimating Individually, s1 and s2 estimate .However, we can get a better estimate than either one if we “pool” them together.The pooled estimate is   .21121222211nnsnsnspx1 –x2 and the t DistributionIf we use sp instead of , and the sample sizes are small, then we should use t instead of Z.The number of degrees of freedom is df = df1 + df2 = n1 + n2 – 2.That is    2 with ,1121212121 nndfnnsxxtpHypothesis TestingSee Example 11.4, p. 699 – Comparing Two Headache Treatments.State the hypotheses.H0: 1 = 2H1: 1 > 2State the level of significance. = 0.05.The t StatisticCompute the value of the test statistic.The test statistic iswith df = n1 + n2 – 2.212111nnsxxtpComputations.416.1101101052.54.196.22.052.518992221tssspHypothesis TestingCalculate the p-value.The number of degrees of freedom isdf = df1 + df2 = 18.p-value = P(t > 1.416)= tcdf(1.416, E99, 18)= 0.0869.Hypothesis TestingState the decision.Accept H0.State the conclusion.Treatment 1 is more effective than Treatment 2.The TI-83 and Means of Independent Samples – StatsPress STAT > TESTS.Choose 2-SampTTest.Choose Stats.The TI-83 and Means of Independent Samples – StatsProvide the information that is called for.x1, s1, n1.x2, s2, n2.Alternative hypothesis.Whether to use a pooled estimate of . Answer “yes.”The TI-83 and Means of Independent Samples – StatsSelect Calculate and press ENTER.The display shows, among other things, the value of the test statistic and the p-value.The TI-83 and Means of Independent Samples – DataEnter the data from the first sample into L1.Enter the data from the second sample into L2.Press STAT > TESTS.Choose 2-SampTTest.Choose Data.The TI-83 and Means of Independent Samples – DataProvide the information that is called for.List 1: L1.List 2: L2.Freq 1: 1.Freq 2: 1.Alternative hypothesis.Whether to use a pooled estimate of . Answer “yes.”The TI-83 and Means of Independent Samples – DataSelect Calculate and press ENTER.The display shows, among other things, the value of the test statistic and the p-value.Paired vs. Independent SamplesThe following data represent students’ calculus test scores before and after taking an algebra refresher course.Student 1 2 3 4 5 6 7 8Before 85 63 94 78 75 82 45 58After 92 68 98 83 80 88 53 62Paired vs. Independent SamplesPerform a test of the hypothesesH0: 2 – 1 = 0H1: 2 – 1 > 0treating the samples as independent.Paired vs. Independent SamplesHad we performed a test of the “same” hypothesesH0: D = 0H1: D > 0treating the samples as paired, then the p-value would have been 0.000005688.Why so small?Paired SamplesWhy is there a difference?1 2 3 54 6 87405060809010070PairedIndependent SamplesWhy is there a difference?1 2 3 54 6 87405060809010070IndependentConfidence IntervalsConfidence intervals for 1 – 2 use the same theory.The point estimate isx1 –x2.The standard deviation ofx1 –x2 is approximately2111nnspConfidence IntervalsThe confidence interval isoror212111nnzxx212111nnszxxp212111nnstxxp( known, large samples)( unknown, large samples)( unknown, normal pops.,small samples)Confidence IntervalsThe choice depends onWhether  is known.Whether the populations are normal.Whether the sample sizes are large.ExampleFind a 95% confidence interval for 1 – 2 in Example 11.4, p. 699.x1 –x2 = 3.2.sp = 5.052.Use t = 2.101.The confidence interval is3.2  (2.101)(2.259) = 3.2  4.75.The TI-83 and Means of Independent SamplesTo find a confidence interval for the difference between means on the TI-83,Press STAT > TESTS.Choose either 2-SampZInt or 2-SampTInt.Choose Data or Stats.Provide the information that is called for.2-SampTTest will ask whether to use a pooled estimate of . Answer


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