(BQ) Part 2 book "Applied statistics - In business and economics" has contents: Two-Sample hypothesis tests, analysis of variance, simple regression, multiple regression, time series analysis, nonparametric tests, quality management, simulation. | 11/23/09 1:39 PM Page 390 Find more at CHAPTER 10 Two-Sample Hypothesis Tests Chapter Contents Two-Sample Tests Comparing Two Means: Independent Samples Confidence Interval for the Difference of Two Means, μ1 − μ2 Comparing Two Means: Paired Samples Comparing Two Proportions Confidence Interval for the Difference of Two Proportions, π1 − π2 Comparing Two Variances Chapter Learning Objectives When you finish this chapter you should be able to LO1 Recognize and perform a test for two means with known σ1 and σ2. LO2 Recognize and perform a test for two means with unknown σ1 and σ2. LO3 Recognize paired data and be able to perform a paired t test. LO4 Explain the assumptions underlying the two-sample test of means. LO5 Perform a test to compare two proportions using z. LO6 Check whether normality may be assumed for two proportions. LO7 Use Excel to find p-values for two-sample tests using z or t. LO8 Carry out a test of two variances using the F distribution. LO9 Construct a confidence interval for μ1 − μ2 or π1 − π2. 390 11/23/09 1:39 PM Page 391 Find more at The logic and applications of hypothesis testing that you learned in Chapter 9 will continue here, but now we consider two-sample tests. The two-sample test is used to make inferences about the two populations from which the samples were drawn. The use of these techniques is widespread in science and engineering as well as social sciences. Drug companies use sophisticated versions called clinical trials to determine the effectiveness of new drugs, agricultural science continually uses these methods to compare yields to improve productivity, and a wide variety of businesses use them to test or compare things. TWO-SAMPLE TESTS What Is a Two-Sample Test? Two-sample tests compare two sample estimates with each other, whereas one-sample tests compare a sample estimate .
