PPT-Chapter 9 Tests of Hypotheses for a Single Sample

Chapter 9 Tests of Hypotheses for a Single Sample Applied Statistics and Probability for Engineers Sixth Edition Douglas C Montgomery George C Runger Chapter 9 Title and Outline 9 Tests of Hypotheses for a Single Sample. One-factor ANOVA. Another dummy variable coding scheme. Contrasts. Multiple comparisons. Interactions. One. -factor . Analysis of variance. Categorical . Explanatory variable. Quantitative . Response variable. Introducing Hypothesis Tests. Review. A 99% confidence interval is . wider than a 95% confidence interval. . narrower than a 95% confidence interval. . the same width as a 95% confidence interval. z. and . t. ) . Example: . Suppose you have the hypothesis that UW undergrads have higher than the average IQ than the US population. You know that IQ’s of the whole population of are normally distributed with a mean of 100 and a standard deviation of 15. How would you test your hypothesis?. STAT 101. Dr. Kari Lock Morgan. SECTION 4.1. Statistical test. . Null and alternative hypotheses. . Statistical significance. Review of Last Class. The standard error of a statistic is the standard deviation of the sample statistic, which can be estimated from a bootstrap distribution. Yunchao. Wei, Wei Xia, . Junshi. Huang, . Bingbing. Ni, Jian Dong, Yao Zhao, Senior Member, IEEE . Shuicheng. Yan, Senior Member, IEEE. 2014. . arXiv. IEEE. . Short Papers. . HCPIssue. Date: Sept. 1 2016. Cognitive & Non Cog Abilities. Personality. Criteria. Chap 3 Developing Predictive Hypotheses. 1. Conceptual & Operational Definitions. Predictors & Criteria. F. Kerlinger’s definitions. What is hypothesis testing?. A statistical hypothesis is an assumption about a population parameter. This assumption may or may not be true. . The best way to determine whether a statistical hypothesis is true would be to examine the entire population. Since that is often impractical, researchers typically examine a random sample from the population. . Cognitive & Non Cog Abilities. Personality. Criteria. Chap 3 Developing Predictive Hypotheses. 1. Conceptual & Operational Definitions. Predictors & Criteria. F. Kerlinger’s definitions. Frances Chumney, PhD CONTENT OUTLINE  Logic of Hypothesis Testing  Error & Alpha  Hypothesis Tests  Effect Size  Statistical Power HYPOTHESIS TESTING 2 HYPOTHESIS TESTING LOGIC OF HYPOT Applied Statistics and Probability for Engineers. Sixth Edition. Douglas C. Montgomery George C. . Runger. Chapter 8 Title and . Outline. 2. 8. Statistical Intervals for a Single Sample. 8-1 . Confidence Interval on the Mean . STAT 1450. Connecting Chapter 15 to our Current Knowledge of Statistics. Chapters 10 & 12 used information about a population to answer questions about a . sample. (e.g. ., 20% of people are smokers, what is the probability that a random sample of 2 people smoke. Example: . Suppose you wanted to test the drug that may affect IQ, but this time you look for changes within each subject. This is done by measuring the IQ for each subject before and after taking the drug. For 9 subjects, you might get a result like this: . Another dummy variable coding scheme. Contrasts. Multiple comparisons. Interactions. One. -factor . Analysis of variance. Categorical . Explanatory variable. Quantitative . Response variable. p. categories (groups). testing. .. Problems. and . some. solutions.. Hans Burgerhof. j.g.m.burgerhof@umcg.nl. February. 12 2019. . Help! Statistics! Lunchtime Lectures. When?. Where?. What?. Who?. Feb. 12 2019. Room 16.