Professor:	Dr. Buxton L. Johnson, Sr.
Class Information:	4 Credit Hours     Classroom: Online     Chat Time: 5:00 to 6:00 pm (CST)  Monday - Friday
Contact Information:	johnsonb@kwc.edu     (270) 852-3168

Title: Elementary Statistics: A Step by Step Approach (A Brief Version)
Author’s name: Allan G. Bluman
Year of publication: 2008
Edition: 4th
Publisher: McGraw-Hill Higher Education
ISBN Number: 978-0-07-353496-1

TI-83 Plus or TI-84 Plus graphing calculator

Microsoft Excel spreadsheet program

An introduction to probability and statistics with applications. Intended for students of business, life sciences, and social sciences.

The following General Education goals and competencies are addressed:

1. To think creatively: Can develop a unique, original approach to solving a problem.
2. To better understand the natural world: Can analyze the natural world and human efforts to achieve progress through involvement with it.
3. To use mathematics to better understand applied situations: Can use tools such as graphs, statistics, logarithms, etc. to analyze relevant data and/or test hypotheses.

Assessment will include homework assignments, quizzes, laboratory exercises, a midterm exam, and a cumulative final exam.

Knowledge:

1. Develop a fundamental understanding of the various concepts encountered in the study of probability and statistics;
2. Understand the development of statistics from descriptive through inferential statistics.

Skills:

1. Perform and evaluate the validity of statistical studies, analyze collected statistical data using a variety of statistical techniques, develop summaries, make decisions, and suggest further action based on the results;
2. Learn to solve problems in probability and statistics.

Values:

1. Develop a sense of responsibility;
2. Develop an honest work ethic.

Content:

1. Collection, organization, summation, and presentation of statistical data;
2. Basic probability and probability distributions;
3. Normal distribution and central limit theorem;
4. Confidence intervals;
5. Hypothesis testing;
6. Correlation and regression;
7. Chi-square;
8. Analysis of variance.

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Week#1 - Must be completed by midnight Sunday, 5/18 

    The Nature of Probability & Statistics (Ch 1)
    Frequency Distributions & Graphs (Ch 2)
    Data Description (Ch 3)
    Lab One: Descriptive Statistics

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Week#2 - Must be completed by midnight Sunday, 5/25

    Probability & Counting Rules (Ch 4)
    Discrete Probability Distributions (Ch 5)
    The Normal Distribution (Ch 6)

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Midterm Exam - Must be completed by midnight Sunday, 5/25

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Week#3 - Must be completed by midnight Sunday, 6/1

    Confidence Intervals and Sample Size (Ch 7)
    Hypothesis Testing  (Ch 8)
    Lab Two: Hypothesis Testing for a Population Mean

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Week#4 - Must be completed by midnight Sunday, 6/8

    Testing the Differenced Between Two Means  (Ch 9)
    Lab Three: Testing the Difference Between Two Populations Means
    Correlation and Regression (Ch 10)
    Lab Four: Correlation and Regression Analysis

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Week#5 -  - Must be completed by midnight Sunday, 6/15

    Chi-Square (Ch 11)
    Lab Five: Chi-Square Testing
    Analysis of Variance (Ch 11)
    Lab Six: Analysis of Variance

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Final Exam - Must be completed by midnight Sunday, 6/15
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Homework Assignments:
Homework is assigned with each lesson.

Quizzes:
A quiz follows each lesson.

Laboratory Exercises:
Laboratory exercises utilizing Microsoft Excel are assigned in pairs after the appropriate lesson.

Exams:
A midterm exam follows lesson six and a cumulative final exam follows lesson twelve.

Final grades will be based on the following:

Homework Assignments (12):  180 points
Quizzes (12):  120 points
Laboratory Exercises (12):  240 points
Midterm Exam:  180 points
Cumulative Final Exam:  180 points
Total Possible:  900 points

Letter grades will be assigned as follows:

A - 90% to 100%
B - 80% to 89%
C - 70% to 79%
D - 60% to 69%
F - less than 60%