BA 282 - Applied Business Statistics

4 Credit(s)

Prerequisite(s): CIS 125SS or BA 285, and STAT 243Z

Course Description: Builds on the knowledge of descriptive statistics learned in STAT 243Z (formerly offered as MTH243) to develop abilities in inferential statistics. Emphasis is on the understanding and application of interval estimating, hypothesis testing, correlation and regression, inferences using Chi-square, and one-way and two-way analysis of variance (ANOVA). Designed to provide students with the analytical skills they will need in upper division business courses including accounting, finance, operations management and applied research. Dual numbered as MTH 244.

Course Level: Lower Division Collegiate

Course Learning Outcomes:

CLO#1: Describe the impact of sampling and the difference between observation and experiment.
CLO#2: Perform significance testing and interval estimation. Be able to describe the strengths and weaknesses of these two methods.
CLO#3: Test a hypothesis against the null hypothesis.
CLO#4: Test hypotheses comparing two populations for both categorical and quantitative response variables. (ILO: Quantitative Literacy and Reasoning)
CLO#5: Explain when and how to use the Chi square test for categorical bivariate analysis.
CLO#6: Prepare statistical analysis using linear regression techniques for quantitative bivariate data.
CLO#7: Prepare statistical analysis using the Multiple Linear Regression technique.
CLO#8: Prepare statistical analysis using one way and two-way Analysis of Variance (ANOVA) techniques.
CLO#9: Be familiar with simple nonparametric statistical analysis and know when such analysis is appropriate.