# GB Business Statistics (online, CRN 80275) Spring 2015 (24 Aug thru 11 Dec)

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9 Please see the next page for the course schedule. 9

10 6.0 Course Calendar. Note that all lessons are due on Dec 10. Lecture Assigned HLS Class Topic Date* Lesson(s) / Exam Aug 25 populations and samples variables, levels of measurement Sept 1 frequency distributions 3.3; 3.4 graphical displays of data ; 3.10 Sept 8 measures of location 4.1 measures of dispersion 4.2a All assigned lessons from Chapters 1, 2, and 3, plus lessons 4.1 and 4.2a. Sept 15 percentiles 4.3 applying the standard deviation Sept 22 discrete random variables the binomial distribution 6.5 Sept 29 the normal distribution 7.2; 7.3a more on the normal distribution 7.3b; 7.3c Lessons 4.3 and from Chapter 4, plus all assigned lessons from Chapters 6 and 7 EXAM 1 (opens Sept 9) EXAM 2 (opens Sept 30) Oct 6 central limit theorem 8.3 t distribution 9.4a Oct 13 confidence intervals (z distribution) confidence intervals (t distribution) 9.4b; 9.5 Oct 20 intro to hypothesis testing hypothesis testing, 1 sample 10.4a; 10.4b Oct 27 hypothesis testing, 1 sample 10.4c hypothesis testing for 2 samples 11.1; 11.2 All assigned lessons from Chapters 8-11 EXAM 3 (opens Oct 28) Nov 3 analysis of variance correlation, scatterplots; simple regression 4.8; Nov 10 simple regression 13.8 multiple regression 14.5a Nov 17 multiple regression 14.7 chi square goodness of fit test 15.2 Dec 1 chi square test for association 15.3 control charts 17.3a; 17.3b Dec 8 control charts 17.4 catch-up and review (if needed) Lesson 4.8, plus all assigned lessons from Chapters and 17 EXAM 4 (opens Dec 8) Due Date Sept 16 Oct 7 Nov 4 Dec 11 End-of-course Assessment (see Section above) POST-TEST (opens Dec 8) Dec 11 *These represent the approximate dates around which students should view the video lectures and complete the corresponding homework in Hawkes. All due dates are fixed, however. 10

13 Appendix: End-of-Course Assessment Grading Rubric Satisfactory Progressing Unsatisfactory Analysis Weight 100% 50% 0% Data and variable description 10% The data types and variables were correctly identified. The data types and/or the variables were partially correctly identified. Either the data types or the variables, or both, were not correctly identified. Descriptive statistics 15% Appropriate descriptive statistics were calculated using designated software technology and discussed, given the type of data and variables. Descriptive statistics were partially correctly calculated using designated software technology and/or discussed, given the type of data and variables. Either the descriptives statistics were not calculated with designated software technology, and/or they were not discussed. Analysis method selection 20% Appropriate methods were selected for the overall analysis, based on the data types and variables, and the methods were discussed. Selected methods were partially appropriate for the overall analysis, based on the data types and variables, and the methods were discussed. Selected methods were inappropriate for overall analysis, based on the data types and variables, and/or the methods were not discussed. Analysis conducted 25% Appropriate analysis was correctly conducted using designated software technology. Appropriate analysis was partially correctly conducting using designated software technology. Analysis was either not conducted using designated software technology or not conducted correctly. Decision and/or recommendation 30% Based on the results of the analysis, the appropriate recommendations for a decision was given. Based on the results of the analysis the recommendations for a decision were partially correct. Either the recommendations for a decision was not based on the analysis, or the recommendations for a decision were incorrect. 13

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