# Business Statistics MATH 222. Eagle Vision Home. Course Syllabus

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1 Business Statistics MATH 222 EagleVision Home Course Syllabus Credit Hours: 3 Credits Academic Term: March 2012 [March 19, 2012 May 20, 2012] Meetings: Location: Instructor: Office Hours: Monday/Wednesday, 6:00 8:30 PM CST Eagle Vision Home Frank Mitchell Virtual Office, times posted on Telephone: Voic (402) , Campus (402) Course Description: This course is a study of basic descriptive and inferential statistics. Topics include types of data, sampling techniques, measures of central tendency and dispersion, elementary probability, discrete and continuous probability distributions, sampling distributions, hypothesis testing, confidence intervals, and simple linear regression. Lecture hours per week (4: 45). Prerequisite(s): MATH 111 or MATH 140 Course Goals: The purpose of this course is to enable students to select and apply appropriate descriptive and inferential statistical techniques to analyze varying types of data, to defend the rationale for selection of the techniques and to effectively communicate results to their analyses. It will prepare students for techniques used in upper level management courses and provide them with the knowledge necessary to evaluate statistics as they are used and/or misused in business, politics, and other fields. 1

2 Learning Outcomes: Alignment with departmental program outcomes is indicated in parentheses. Upon completion of the course, students will be able to do the following: 1. Summarize and make appropriate conclusions about data by using appropriate graphical displays and by calculating and interpreting measures of central tendency and dispersion. Calculate z-scores and percentiles. (PO 2 & 7) 2. Calculate probabilities of events and unions, intersections and complements of events using basic counting rules and the basic laws of probability. (PO 2 & 7) 3. Calculate probabilities using binomial, Poisson and normal distributions. (PO 2 & 7) 4. Explain the importance of randomness in sampling, select and apply appropriate sampling techniques. (PO 2 & 7) 5. Calculate confidence intervals for population means or proportions from sample data using the normal distribution for large samples and student s t-distribution for small samples and interpret the result. (PO 2 & 7) 6. Test hypotheses concerning population means and proportions using either large or small sample data and interpret results. (PO 2 & 7) 7. Calculate confidence intervals and perform hypothesis test for differences in two population means or proportions and interpret the results. (PO 2 & 7) 8. Communicate the results of statistical analysis in a clear and concise manner. (PO 2 & 7) 9. Be a critical consumer of statistics presented by the media and other sources. Accurately interpret the statistics presented, identify ways in which they might be subject to misinterpretation either intentional or unintentional and apply ethics to the interpretation and presentation of statistics. (PO 2 & 7) 10. Apply the concepts addressed in the course to problem solving including problems related to business. (PO 2 & 7) Added Learning Outcome for Worldwide Campus: 11. Given a set of data, choose appropriate software, use the software to analyze the data, and accurately interpret the output from the software. (PO 2 & 7) Required Course Materials: Berenson, M., Levine, D., & Krehbiel, T. (2009). Basic business statistics: Concepts and applications (11th ed.). Upper Saddle River, NJ: Pearson Prentice Hall. (ISBN10: ) NOTE: This is an ERAU unique text edition. This ISBN includes access to MyStatLab and to PHStat software, an Excel add-in. 2

3 Suggested Supplemental Materials: a. Scientific Calculator b. Student's Solutions Manual - Call Publisher c. Microsoft Excel d. Statistical Software for IBM PC and MacIntosh - Call Publisher e. Instructor s web site: Grading: Examinations 50% Projects 10% Homework 30% Participation/Blackboard Work 10% Total 100% UNDERGRADUATE Grade Grade A (Superior) B (Above Average) C (Average) D (Below Average) Below 60 F (Failure) Library: The Jack R. Hunt Library, located on the Daytona Beach Campus, is the primary library for all Worldwide Campus students. Web: Phone: (800) (ext. 6947) or (386) (Voic is available after hours) Hours: Monday - Friday, 8:00 a.m. - 5:00 p.m. EST Assignments, Discussion Board Participation (If required for Blended Delivery), and/or special administrative: All assignments will be completed in a professional manner and on time, unless prior arrangements have been made with the professor. Blackboard assignments (if required) are graded with class participation. This course includes weekly activities, each of which may have grade points associated with them. Unless prior arrangements have been made with the 3

5 Course Schedule: Date Topics L/O Activities Mar 19 introduction Mar 21 organizing data , 2.1, 2.2 Mar 26 graphs 1, Mar 28 descriptive measures Apr 2 descriptive measures Apr 4 probability, exam, ch Apr 9 discrete distributions 3 5.1,5.3 Apr 11 normal distribution Apr 16 sampling methods, exam, ch Apr 18 sampling distributions Apr 23 estimating a population mean 5, Apr 25 estimating a population proportion 5, 8, ,8.6 Apr 30 exam, ch 7-8 May 2 hypothesis testing of means 6, May 7 hypothesis testing of proportions 6, 8, May 9 two sample tests 7, 8, May 14 regression 8, 10, May 16 final examination 5

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