Chapter 8.1（课件）- 《统计学基础（英文版）》同步教学（人民大学版）

Chapter Hypothesis Testing with Two Samples 8 1 Copyright 2019, 2015, 2012, Pearson Education, Inc. 1 Larson/Farber 6th ed Chapter 1 Chapter Outline 8.1 Testing the Difference Between Means (Independent Samples, 1 and 2 Known) 8.2 Testing the Difference Between Means (Independent Samples, 1 and 2 Unknown) 8.3 Testing the Difference Between Means (Dependent Samples) 8.4 Testing the Difference Between Proportions . 1 Copyright 2019, 2015, 2012, Pearson Education, Inc. Section 8.1 Testing the Difference Between Means (Independent Samples, 1 and 2 Known) . 1 Copyright 2019, 2015, 2012, Pearson Education, Inc. Section 8.1 Objectives How to determine whether two samples are independent or dependent An introduction to two-sample hypothesis testing for the difference between two population parameters Perform a two-sample z-test for the difference between two means μ1 and μ2 using independent samples with 1 and 2 known . 1 Copyright 2019, 2015, 2012, Pearson Education, Inc. Two Sample Hypothesis Test Compares two parameters from two populations. Sampling methods: Independent Samples The sample selected from one population is not related to the sample selected from the second population. Dependent Samples (paired or matched samples) Each member of one sample corresponds to a member of the other sample. . 1 Copyright 2019, 2015, 2012, Pearson Education, Inc. Independent and Dependent Samples Independent Samples Sample 1 Sample 2 Dependent Samples Sample 1 Sample 2 . 1 Copyright 2019, 2015, 2012, Pearson Education, Inc. Example: Independent and Dependent Samples Classify each pair of samples as independent or dependent. Sample 1: Triglyceride levels of 70 patients Sample 2: Triglyceride levels of the same 70 patients after using a triglyceride-lowering drug for 6 months. Solution: These samples are dependent. Because the triglyceride levels of the same patients are taken, the samples are related. The samples can be paired with respect to each patient. .