PPT-Hypothesis Testing Hypothesis Testing

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. 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.” . +. Probability. Seminar 6. A difficult mock question for mid-term. Plot . the following graph. People . who use Facebook only (but not Twitter) are generally happier than those who use Twitter only (but not Facebook). This . STAT 250. Dr. Kari Lock Morgan. SECTION 4.1. Hypothesis test. . Null and alternative hypotheses. . Statistical significance. Tea and the Immune System. L-. theanine. is an amino acid found in tea. 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.. 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). Writing a Hypothesis. Quick Questions. What do we remember about testable questions?. What is a hypothesis?. What do hypotheses have in common with testable questions?. How do we write a hypothesis?. 5th - 9th December 2011, Rome. A hypothesis. Is the prevalence within each food consumption group significantly different between male-headed and female-headed households?. Both variables are categorical… . Q. uestion. R. andom guess. Observation. Experiment. Your mom. A . hypothesis is:. A . tentative explanation . for an observation or a scientific problem that can be tested by further investigation. . 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?. Assistant Professor,. Department of Computer Engineering,. International Institute of Information Technology, Pune. Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057 . 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 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