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N. St. . Edward’s. University. .. .. .. .. .. .. .. .. .. .. .. SLIDES. . .. . BY. Chapter . 9. Hypothesis Testing. Developing Null and Alternative Hypotheses. Type I and Type II Errors. Population Mean: . P: Parameter of Interest. If you haven’t noticed yet, the parameter of interest is kind of a big deal. First, and foremost, we always want to consider who or what the research is trying to generalize to.. Rafael Mayo-García, CIEMAT. Tunis / 12-13 Dec 2013. A CHAIN-REDS Perspective about Data Access and Metadata Management. Roberto Barbera. a,b. , Carla Carrubba. b. , Giuseppina Inserra. b. , Christos Kanellopoulos. Rafael Mayo García (CIEMAT). e-AGE Conference, Muscat. , Oman. 10-11 December 2014. Coordination. & . Harmonisation. . of. . Advanced. . eINfrastructures. CHAIN. CHAIN-REDS: A legacy from CHAIN. Dror Rom. Prosoft. Clinical. IMPACT Symposium. November 20, 2014. Contributions by Chen Chen. This presentation . revisits the Closure Principle . of Marcus, . Peritz. , and Gabriel (1976. ) and its implementation by most multiple testing procedures, which I will show to be sometimes conservative. . STAT 250. Dr. Kari Lock Morgan. SECTION 4.3. Significance level (4.3). Statistical conclusions (4.3). p-value and H. 0. If the p-value is small, then a statistic as extreme as that observed would be unlikely if the null hypothesis were true, providing significant evidence against H. Chapter 12. Chi-Square Tests and Nonparametric Tests. Statistics for Managers using Microsoft Excel. 6. th. Global Edition. 12-. 2. Learning Objectives. In this chapter, you learn:. How and when to use the chi-square test for contingency tables. Chapter 12. Chi-Square Tests and Nonparametric Tests. Statistics for Managers using Microsoft Excel. 6. th. Edition. 12-. 2. Learning Objectives. In this chapter, you learn:. How and when to use the chi-square test for contingency tables. Hypothesis Testing. Tests for Proportions. For 1 sample proportions. C. onditions. SRS. Population > 10n. n. p. and n(1-p) > 10. Test Statistic. For confidence intervals use p-hat, not p!. To find the p-value use . Dror Rom. Prosoft. Clinical. IMPACT Symposium. November 20, 2014. Contributions by Chen Chen. This presentation . revisits the Closure Principle . of Marcus, . Peritz. , and Gabriel (1976. ) and its implementation by most multiple testing procedures, which I will show to be sometimes conservative. . nd. type of formal statistical inference. Our goal is to assess the evidence provided by data from a sample about some claim concerning the population.. Remember: We are asking ourselves “What would happen if we repeated the sample or the experiment many times?”. P -values & Rejection Region Tests for a z -test for μ (Large Sample) n > 30 P -values & Rejection Region Tests for a t -test for μ (Small Sample) n < 30 Identify H 0 and H a Identify H Introduction to hypothesis testing. Last time:.  . Probability & the Distribution of Sample Means. We . can use the Central Limit Theorem to calculate z-scores associated with individual sample means (the z-scores are based on the distribution of all possible sample means. A Decision-Making Approach. 8. th. Edition. Chapter 9. Introduction to Hypothesis Testing. 9-. 2. Chapter Goals. After completing this chapter, you should be able to:. . Formulate null and alternative hypotheses involving a single population mean or proportion.