PDF-Hypothesis Testing Part II

Type I II Error and Test of 1 2 Tailed Hypothesis Khagendra Kumar Dept of Education Patna University Decision Making on Accepting Rejecting Hypotheses To take decision for accepting or. Hypothesis. testing. The process of making judgments about a large group (population) on the basis of a small subset of that group (sample) is known as statistical inference.. Hypothesis testing, one of two fields in statistical inference, allows us to objectively assess the probability that statements about a population are true. . Statistics. Terms. Null hypothesis. – The claim being assessed in a hypothesis test is called the null hypothesis. . Usually, the null hypothesis is a statement of “no change from the traditional value,” “no effect,” “no difference,” or “no relationship.” . y of explanation: . Why hypothesis-testing doesn’t come naturally . Nick . Chater. Behavioural Science Group, WBS. Overview. Part 1: The cycle of thought. Perception as a model for thought. The extreme . Mr. Mark Anthony Garcia, M.S.. Mathematics Department. De La Salle University. Situation: Hypothesis Testing. Suppose that a political analyst predicted that senatorial candidate A will top the upcoming senatorial elections in city X with at least 0.70 or 70% of the votes.. VON CHRISTOPHER G. CHUA, LPT, MST. Affiliate, ESSU-Graduate School. MAED 602: STATISTICAL METHODS. Session Objectives. In this fraction of the course on Statistical Methods, graduate students enrolled in the subject are expected to do the following:. Article: Do left-handers die earlier?. Group 3: Annabella Fong, Bok Wen Xuan, Goh Jie Sheng. Outline. Correlation of left-handers with age. Hypothesis testing using sample of Baseball players. Hypothesis testing using sample of . Test of hypothesis - Test whether a population parameter is less than, equal to, or greater than a specified value.. Remember an inference without a measure of reliability is little more than a guess.. Chong Ho Yu (Alex). Ford's Model T in Statistics. Most statistical procedures that we still use today were invented in the late 19. th. century or early 20. th. century.. The t-test was introduced by William Gosset in 1908.. Hypothesis Testing. A statement has been made. We must decide whether to . b. elieve it (or not). Our belief decision must ultimately stand on three legs:. What does our general background knowledge and experience tell us (for example, what is the reputation of the speaker)?. Sample. , shape, location, and spread. Sample = make sure it's random, handle missing data (mcar, mar, nmar), imputation . methods. NMAR!. . Shape = Is the data skewed, normal, or flat? If normal then we can use statistical analysis for normal . Evaluating Differences and Changes. “Our overall customer satisfaction score increased from 92 percent 3 months ago to 93.5 percent today.” . Did customer satisfaction really increase? Should we celebrate?. A nuclear power plant adjacent to a residential area. STATISTICS FOR BUSINESS. (Hypothesis testing for a single population). A nuclear power plant. adjacent to a residential area. Two . local . residents die . 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 I. Terms, Concepts. A. In general, we do not know the true value of population parameters - they must be estimated. However, we do have hypotheses about what the true values are. B. The major