PPT-Hypothesis Testing Type I and Type II Errors

In  statistics a  Type I error  is a false positive conclusion while a  Type II error  is a false negative conclusion The probability of making a Type I error is the significance level or alpha α while the probability of making a Type II error is beta β These risks can be minimized through careful planning in your study design. 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. . +. 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 . 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.. Probability in psychology (. P = <. 0.05). The.  . p (probability).  value determines whether or not we reject the null hypothesis. We use it to estimate whether or not we think the null hypothesis is true. . 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:. 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?. 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.. 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 . Overview. Types of behavioral research. Research hypotheses. Basics of experimental research. Significance tests. Limitations of experimental research. Types of behavioral research. Descriptive . investigations: . 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 Inferential Statistics: Making inferences about populations based on samples. Chapter Outline. Hypothesis-Testing. One-Tailed and Two-Tailed Hypothesis Tests. Decision Errors. Decision Errors. When the right procedures lead to the wrong decisions.