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Hypothesis Testing: Two -Sample Inference

Hypothesis Testing: Two -Sample Inference. power of the test = 1 − Pr (type II error). power >= 80% is required. Home Work/Due Mon. 11.6, paper.

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Hypothesis Testing: Two -Sample Inference

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  1. Hypothesis Testing: Two-Sample Inference

  2. power of the test = 1 − Pr(type II error)

  3. power >= 80% is required

  4. Home Work/Due Mon. 11.6, paper • Suppose we want to test the hypothesis that mothers with low socioeconomic status (SES) deliver babies whose birthweights are lower than “normal.” To test this hypothesis, a list is obtained of birthweights from 100 consecutive, full-term, live-born deliveries from the maternity ward of a hospital in a low-SES area. The mean birthweight (x) is found to be 115 oz with a sample standard deviation (s) of 24 oz. Suppose we know from nationwide surveys based on millions of deliveries that the mean birthweight in the United States is 120 oz. • Can we actually say the underlying mean birthweight from this hospital is lower than the national average? • Suppose the mean birthweight was 119 oz, based on a sample of size 10,000. Assess the results of the study. • Suppose the mean birthweight was 110 oz, based on a sample size of 10. Assess the results of the study.

  5. Type I and Type II error Sample Size Multiple hypothesis testing and Bonferroni’s correction

  6. 课程/考试安排 • 11.13 Nonparametric Methods + Hypothesis Testing: Categorical Data • 11.20 Regression and Correlation Methods • 11.27 Multisample Inference (ANOVA) + Person-Time Data (Survival) • 12.04 习题课 • 12.11 Presentation groups 1-3 • 12.18 Presentation groups 4-6 • 12.25 Presentation groups 7-9 • 01.08 Presentation groups 10-12 • 01.11 Final Exam

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