PPT-CHAPTER 15 : Sampling Distributions

Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition In chapter 15 we cover Parameters and statistics Statistical estimation and the Law of Large Numbers Sampling distributions. Probability Distributions . and Data Modeling. Business Analytics: Methods, Models, . and Decisions. , 1. st. edition. James R. Evans. 5-. 1. Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall. Understanding the meaning of the terminology we use.. Quick calculations that indicate understanding of the basis of methods.. Many of the possible questions are already sprinkled in the lecture slides.. 1. 7. Sampling Distributions and Point Estimation of Parameters. 7-1 Point Estimation. 7-2 Sampling Distributions and the Central Limit Theorem. 7-3 General Concepts of Point Estimation. 7-3.1 Unbiased Estimators. Highlights:. The law of large numbers. The central limit theorem. Sampling distributions. Formalizing the central limit theorem. Calculating probabilities associated with sample means. Two important results in inferential statistics. Parameter & Statistic. Parameter. Summary measure about population. Sample Statistic. Summary measure about sample. P. . in. . P. opulation. . &. . P. arameter. S. . in. . S. ample. . and Estimators. EXAMPLE . Because of rude sales personnel, a poor business plan, ineffective advertising, and a poor name, Polly Esther’s Fashions was in business only three days. On the first day 1 dress was sold, 2 were sold on the second day, and only 5 were sold on the third day. Because 1, 2, and 5 are the entire population, the mean is . Martina Litschmannová. m. artina.litschmannova. @vsb.cz. EA 538. Populations. vs. Sample. A . population. includes each element from the set of observations that can be . made.. A . sample. consists only of observations drawn from the population.. Lecture Presentation Slides. Macmillan Learning ©. 2017. Chapter 5. Sampling . Distributions. 5.1 Toward Statistical Inference. 5.2 The Sampling Distribution of a Sample Mean. 5.3 Sampling Distributions for Counts and . © 2017 W.H. Freeman and Company. 1.1-1. When ordering vinyl replacement windows, the following variables are specified for each window. Which of these variables is . quantitative. ?. a. window style: double hung, casement, or awning. 7. Introduction. In . a typical statistical inference problem, you want to discover one or more characteristics of a given population. .. However, it is generally difficult or even impossible to contact each member of the population.. William P. Wattles, Ph.D.. I got the job!!! I am the new Human Resource Recruitment Specialist for . …I . would be involved in all branches. BEST PART... most of my job has to do with job analysis and performance, retention and turnover trends! (ALL STATISTICS and Behavior analysis) I will always apply what I learned at Francis Marion . Objectives. In this chapter, you learn:. The concept of the sampling distribution. To compute probabilities related to the sample mean and the sample proportion. The importance of the Central Limit Theorem. Section 7.1 . What Is a Sampling Distribution?. After this section, you should be able to…. DISTINGUISH between a parameter and a statistic. DEFINE sampling distribution. DISTINGUISH between population distribution, sampling distribution, and the distribution of sample data. Applied Statistics and Probability for Engineers. Sixth Edition. Douglas C. Montgomery George C. . Runger. Chapter 7 Title and Outline. 2. 7. Point Estimation of Parameters and Sampling Distributions.