Date Adopted:
Date Reviewed: January 2008
Date Revised: January 2008
BUS 271 – Business Statistics I
I. BUS 271 – Business Statistics I – 3 Semester Hours
II. Course Description
This is an introductory study of basic statistical concepts applied to economic and business problems.
Topics include the collection, classification, and presentation of data, statistical description and
analysis of data, measures of central tendency and dispersion, elementary probability, sampling,
estimation, and introduction to hypothesis testing.
III. Prerequisite
Math 112
IV. Textbook
Textbook: Statistical Techniques Business and Economics (Current Edition)
Publisher: McGraw
Authors: Lind
V. Course Objectives
1. The student will develop an understanding of the term statistics.
2. The student will understand why and how descriptive statistics used.
3. The student will understand the role probability plays in statistics.
4. The student will learn the concept of probability distribution.
5. The student will be able to appreciate the importance of sampling.
6. The student will learn how results from samples can be used to provide estimates of
population characteristics such as population mean, the population variance and the
population proportion.
7. The student will learn how to formulate and test hypotheses about a population mean and
a population proportion.
VI. Course Outline of Topics
1. The student will develop an understanding of the term statistics. The student will:
a) define statistics.
b) define and distinguish between a population and a sample.
c) work mathematical problems involving:
1) fractions
2) equations
3) inequalities
4) subscriptions
5) summations
6) factorial
2. The student will understand why and how descriptive statistics are used.
The student will:
a) define the term data.
b) define and classify variables as either discrete or continuous.
c) define and classify variables as either quantitative or qualitative.
3. The student will construct and interpret tabular summarization procedures for quantitative
data such as:
a) frequency and relative frequency distributions.
b) cumulative frequency and cumulative relative frequency distributions.
