busa3321_Syllsp11-2

busa3321_Syllsp11-2 - The University of Texas at Arlington...

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The University of Texas at Arlington Department of Information Systems and Operations Management COURSE NAME AND NUMBER: BSTAT 3321 – Business Statistics I – Spring, 2011 INSTRUCTOR: Dr. Mark Eakin OFFICE: 525 B OFFICE HOURS : Tentatively 8:30-9:20 & 2:30-3:30 T & Th PHONE: 817-272-3529 E-MAIL : [email protected] WEB SITE : wweb.uta.edu/faculty/eakin/bstat3321.html PREREQUISITE: Math 1316 or Calculus TEXT MATERIALS NEEDED: (1) Statistics for Managers: Using Microsoft®Excel, Sixth Edition by Levine, et. al . (2) A Spreadsheet PC package (preferably Excel) that has some statistical capabilities. COURSE DESCRIPTION: (From catalog) Application of statistical techniques to business and economic data. Topics include descriptive statistics, probability distributions, estimation, inference, regression, correlation, and time series. COURSE OBJECTIVE: The course introduces the student to the basic principles and applications of descriptive and inferential statistics. The course assists students to become knowledgeable consumers of statistical analysis, its applications and limitations. LEARNING OUTCOMES FOR STAT 3321 AND STAT 5301 1. The student will be able to explain the rationale for randomness in data collection, select a simple random sample and describe a data set verbally, graphically, and numerically. 2. The student will be able to apply the complement, addition, and multiplication laws of probability. 3. The student will be able to distinguish between discrete and continuous random variables, find binomial and normal probabilities using tables, and compute expected value and variance for a binomial distribution. 4. The student will be able to state the Central Limit Theorem and use the sampling distributions to find probabilities for the sample mean and sample proportion. 5. The student will be able to construct and interpret confidence intervals for a population mean and a population proportion and to determine sample sizes for given levels of confidence and margins of error. 6. The student will be able to test hypotheses about a population mean and a population proportion and to interpret the results. 7. The student will be able to fit and interpret simple linear regression models along with the usual inferences. The student will be able to construct graphs, compute descriptive statistics, make inferences and fit simple regression models using appropriate software such as Excel.
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REQUIRED TEST/ASSIGNMENT DATE POINT VALUE FORMAT Exam 1 Feb. 17 25% Multiple Choice Assignment 1 Mar. 3 3% Group Typed Paper Assignment 2 Mar. 31 3% Group Typed Paper Exam 2 Apr. 7 25% Multiple Choice Assignment 3 Apr. 28 4% Group Typed Paper Homework/Participation Everyday 10% Comprehensive Final * 30% Multiple Choice * see http://www3.uta.edu/registrar/FinalSpring2011.asp GRADES: A = 90% and above, B = 80% - 89.9999%, C = 70% - 79.9999%, D = 60% - 69.9999%, F = 0% - 59.9999%. TESTS: There will be three closed-book exams. One single, two-sided study sheet (8 1/2 by 11 inches)
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busa3321_Syllsp11-2 - The University of Texas at Arlington...

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