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COURSE SYLLABUS

BUS 226 Business Statistics

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I  |  II  |  III

IV  |  V  I  VI  |  VII  |  VIII

IX  |  X  |  XI  |  XII  |  XIII

I.

Introduction to Basic Statistics

1 hour

 

A.

What is meant by statistics?

 

 

B.

Who uses statistics?

 

 

C.

Types of Statistics

 

 

 

1.

Descriptive statistics

 

 

 

2.

Inferential statistics

 

 

D.

Types of Variables

 

 

E.

Levels of Measurement

 

 

 

1.

Nominal level

 

 

 

2.

Ordinal level

 

 

 

3.

Interval level

 

 

 

4.

Ratio level

 

II.

Summarizing Data - Frequency Distributions and Graphic Presentation

3 hours

 

A.

Construction of a Frequency Distribution

 

 

B.

Stated and True Class Limits

 

 

 

1.

Midpoints

 

 

 

2.

Class interval

 

 

C.

Construction of a Frequency Distribution

 

 

D.

Relative Frequency Distribution

 

 

E.

Stem-and-Leaf Displays

 

 

F.

Portraying a Frequency Distribution Graphically

 

 

 

1.

Histogram

 

 

 

2.

Frequency polygon

 

 

G.

Cumulative Frequency Polygons

 

 

H.

Less-than Cumulative Frequency Polygon

 

 

I.

More-than Cumulative Frequency Polygon

 

 

J.

Graphic Representation of Data

 

 

 

1.

Simple line charts and simple bar charts

 

 

 

2.

Pie charts

 

III.

Describing Data - Measures of Central Tendency and Dispersion

5 hours

 

A.

What is a Measure of Central Tendency?

 

 

B.

The Arithmetic Mean

 

 

C.

The Population Mean

 

 

D.

The Properties of the Arithmetic Mean

 

 

E.

Weighted Mean

 

 

F.

The Median

 

 

 

1.

Properties of the Median

 

 

G.

The Mode

 

 

H.

A Computer Example

 

 

I.

The Geometric Mean

 

 

J.

The Mean, Median, and Mode of Grouped Data

 

 

 

1.

The Arithmetic Mean

 

 

 

2.

The Median

 

 

 

3.

The Mode

 

 

K.

Selecting an Average for Data in a Frequency Distribution

 

 

L.

Why Study Dispersion?

 

 

M.

Measures of Dispersion - Ungrouped Data

 

 

 

1.

Range

 

 

 

2.

Mean Deviation

 

 

 

3.

Variance and Standard Deviation

 

 

N.

Measures of Dispersion for Data Grouped into a Frequency Distribution

 

 

 

1.

Range

 

 

 

2.

Standard Deviation

 

 

O.

Interpretation and Uses of the Standard Deviation

 

 

 

1.

Chebyshev's Theorem

 

 

 

2.

The Empirical Rule

 

 

Exam #1Chapters I - III

1 hour