
MA 340  Business Statistics4 lecture hours 0 lab hours 4 credits Course Description Almost all managerial decisions involve some amount of uncertainty. This course is designed to acquaint the student with some of the statistical methods that can be used to help make these decisions. Topics covered are probability, probability models, estimation, tests of hypotheses, analysis of variance, and regression. Note: This course is open only to students in the Rader School of Business. (prereq: MA 120 or equivalent) Course Learning Outcomes Upon successful completion of this course, the student will be able to:
 Set up a frequency distribution
 Compute the mean and standard deviation of a set of numbers
 Determine probabilities of specific events
 Recognize and use the binomial and normal probability distributions
 Test a hypothesis about means and the binomial parameter ‘p’
 Estimate the mean of a population and the parameter ‘p’
 Understand analysis of variance and be able to calculate linear and multiple regression using Microsoft® Excel*. *Microsoft is a registered trademark of Microsoft Corporation in the United States and/or other countries
Prerequisites by Topic Course Topics
 Introduction
 Probability
 Discrete probability distributions
 Binomial distribution
 Poisson distribution
 Hypergeometric distribution
 Continuous probability distributions
 Normal distribution
 Exponential distribution
 Sampling
 Hypothesis testing
 Estimating mean and variance
 Estimating proportion
 Analysis of variance
 Regression
Coordinator Edward Griggs
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