PPT-7. Refuted? 8. Reject and / or Revise Hypothesis

The HypotheticoDeductive Model of Scientific Research 11 Prediction 10 Theory Consists of confirmed hypotheses 9 Confirmed 6 Test Hypothesis 5 Data Analysis 4 Systematic Observation . for Social. and . Behavioral. . Sciences. Session . #18:. Literary. . Analysis. . using. Tests. (. Agresti. and Finlay, . from. . Chapter. 5 to . Chapter. 6). Prof. Amine Ouazad. Outline. True. St. . Edward’s. University. .. .. .. .. .. .. .. .. .. .. .. SLIDES. . .. . BY. Chapter . 9. Hypothesis Testing. Developing Null and Alternative Hypotheses. Type I and Type II Errors. Population Mean: . . Inferential Statistics: . Using the sample statistics to infer . (to) . population parameters.. Modular Course 5. . Summary or Descriptive Statistics: . Numerical and graphical summaries of data.. 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.. 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. . Chapter 9. BA 201. Hypothesis Testing. The . null hypothesis. , . denoted by . H. 0 . , . is a tentative. assumption about a population parameter.. The . alternative hypothesis. , denoted by . 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. 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. . Ho - this hypothesis holds that if the data deviate from the norm in any way, that deviation is due strictly to chance.. Alternative hypothesis. Ha - the data show something important.. Doing decision = accept/reject Ho (the decision centers around null hypothesis). 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?”. 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. . Behavioral. . Sciences. Session . #. 17:. Hypothesis. . Testing. : . The Confidence . Interval. . Method. and the . T-Statistic. . Method. (. Agresti. and Finlay, . from. . Chapter. 5 to . Chapter. AP Statistics. Unit 5. Hypotheses. Hypotheses are working models that we adopt temporarily.. Our starting hypothesis is called the . null hypothesis. . . The null hypothesis, that we denote by . H. 0. 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.