PPT-STATISTICS FOR BUSINESS Chapter 8. Hypothesis testing for a single population

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 . 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. . Paf 203. Data Analysis and Modeling for Public Affairs. REVIEW. What is statistics?. What is the difference between a population and a sample?. What is a parameter? A statistic?. What are the measures of central tendency?. 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?. for Statistics Instruction. Mark L. Berenson. Montclair State University. MSMESB Mini-Conference . DSI - Baltimore. November 17, 2013. Teaching Introductory Business Statistics to Undergraduates in an Era of Big Data. 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). Introduction. Researchers interesting in many types of questions. Earth warming. Medication effect on blood pressure. Seat belts and accidents. Are differences in means of populations and means of samples real, or by chance?. 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 . Behavioral. . Sciences. Session . #. 17:. Hypothesis. . Testing. : . The Confidence . Interval. . Method. and the . T-Statistic. . Method. (. Agresti. and Finlay, . from. . Chapter. 5 to . Chapter. 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 Inferential Statistics: Making inferences about populations based on samples. Hypothesis Testing. A systematic procedure for deciding whether the results of a research study . (. using a sample. ). supports a hypothesis that applies to a population . 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 What affects hypothesis testing? . Taking this class has made you intellectually curious (I’m serious!). So, you decide to see whether Edison light bulbs last as long as the package says they do; according to the package: µ = 1200 . 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. a Holistic Approach. Chapter 9. One Population Hypothesis Testing. This Course Material by Maurice Geraghty is licensed under a Creative Commons Attribution-. ShareAlike. 4.0 International License. .