DCCC Logo

BUS 220 - Elementary Statistics

Course Description

Introduction to the use of probability and statistical inference for business decision making. Various distributions and techniques are presented to prepare the student for parametric estimation and testing. The basic concepts of frequency and probability distributions, measures of central tendency and variance as well as hypothesis testing of means, variances and goodness of fit are presented. There is also brief discussion on non-parametric methods, regression analysis, correlation and price indices.

Upon successful completion of this course, students should be able to:
Discuss the principles of descriptive and inferential statistics.
Compute probabilities using discrete distributions, continuous distributions and counting theory.
Investigate concepts in sampling distributions and the Central Limit Theorem.
Develop and interpret simple and multiple regression equations and their correlation coefficients.
Construct interval estimates for population means.
Conduct hypothesis testing for one or two samples.
Conduct simple variance testing using ANOVA F distribution principles.
Calculate simple index numbers.
Execute elementary goodness of fit testing using the chi-squared distribution.

College Academic Learning Goal Designation: Quantitative Reasoning (QR)

Credit Hours: 3
Lecture Hours: 3


Course Prerequisites: MAT 100, MAT 121 or MAT 135 or higher