PPT-SLIDES . BY John Loucks

St Edwards University Chapter 3 Part B Descriptive Statistics Numerical Measures Measures of Distribution Shape Relative Location and Detecting Outliers. St. . Edward’s. University. .. .. .. .. .. .. .. .. .. .. .. SLIDES. . .. . BY. Chapter 2, Part B. Descriptive Statistics:. Tabular and Graphical . Displays. Summarizing Data for Two . Variables. St. . Edward’s. University. .. .. .. .. .. .. .. .. .. .. .. SLIDES. . .. . BY. Chapter . 9. Hypothesis Testing. Developing Null and Alternative Hypotheses. Type I and Type II Errors. Population Mean: . MOAC Lesson 2. Slide Layout. Predefined arrangement of placeholders for text or objects . (John Wiley & Sons, Inc., 2014). Located in the Layout . Gallery. (drop down list contain thumbnails) and shown as . University. .. .. .. .. .. .. .. .. .. .. .. SLIDES. . .. . BY. Chapter 12. . Comparing Multiple Proportions,. Test of Independence and . Goodness of . Fit. . Testing the Equality of Population Proportions. University. Modifications by. A. Asef-Vaziri. Shortest-Route Problem. The . shortest-route problem. is concerned with finding the shortest path in a network from one node (or set of nodes) to another node (or set of nodes).. University. Modifications by. A. Asef-Vaziri. Chapter 6, Part B . Distribution and Network Models. Shortest-Route Problem. Maximal Flow . Problem. A Production and Inventory Application. Shortest-Route Problem. University. .. .. .. .. .. .. .. .. .. .. .. SLIDES. . .. . BY. Chapter 1. Data and Statistics. Data. Data Sources. Descriptive Statistics. Statistical Inference. Computers and Statistical Analysis. University. Modifications by. A. Asef-Vaziri. Chapter . 6, . Part A. Distribution and Network Models. Transportation Problem. Network Representation. General LP Formulation. Assignment Problem. Network Representation. University. Modifications by. A. Asef-Vaziri. Chapter . 4 . Linear Programming Applications. in Marketing, Finance, and Operations. Marketing Applications. Financial Applications. Operations Management Applications. St. . Edward’s. University. .. .. .. .. .. .. .. .. .. .. .. Chapter 5. Discrete Probability Distributions. .10. .20. .30. .40. 0 . . 1 . . 2 3 4. Random Variables. University. 1. Statistics for . Business and Economics (13e). Anderson, Sweeney, Williams, . Camm. , Cochran. © 2017 Cengage Learning. Slides by John . Loucks. St. Edwards University. Chapter 6. Continuous . University. Agenda. Some Review from Last Class. Data Envelopment Analysis. Revenue Management. Game Theory Concepts. Chapter 5 . Advanced Linear Programming Applications. Data Envelopment . Analysis. University. .. .. .. .. .. .. .. .. .. .. .. SLIDES. . .. . BY. Chapter 10, Part A. . Inference . About . Means and Proportions. with . Two Populations. Inferences About the Difference Between. Two Population Means: . Slides by John Loucks St. Edward’s University Statistics for Business and Economics (13e) Anderson, Sweeney, Williams, Camm , Cochran © 2017 Cengage Learning Slides by John Loucks St. Edwards University