Syllabus
MATH 1400 - Probability and Statistics
Professor: Dr. Buxton L. Johnson, Sr.
Class Information:

4 Credit Hours     Classroom: Online - LOG IN NOW    

Chat Time: 11 to 11:30 am (central),   Monday - Thursday

Contact Information:

johnsonb@kwc.edu    

(270) 852-3168   

 
Required Text, Calculator, and Software
Title: Elementary Statistics: A Step by Step Approach (A Brief Version)
Author: Allan G. Bluman
Year of publication: 2010
Edition: 5th
Publisher: McGraw-Hill Higher Education
ISBN Number: 978-0-07-338609-6

TI-83 Plus or TI-84 Plus graphing calculator

Microsoft Word 2007 word processing program

Microsoft Excel 2007 spreadsheet program

 
Course Description
An introduction to probability and statistics with applications. Intended for students of business, life sciences, and social sciences.
 
Course Objectives
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.
 
Lesson (by Textbook Chapter) and Lab Schedule

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Week#1 - Must be completed by midnight Saturday, 5/21 

    Lesson One: The Nature of Probability & Statistics (Ch 1)
    Lesson Two: Frequency Distributions & Graphs (Ch 2)

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Week#2 - Must be completed by midnight Saturday, 5/28 

    Lesson Three: Data Description (Ch 3)
    w/ Lab One: Descriptive Statistics

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Week#3 - Must be completed by midnight Saturday, 6/4

    Lesson Four: Probability & Counting Rules (Ch 4)
    Lesson Five: Discrete Probability Distributions (Ch 5)

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Week#4 - Must be completed by midnight Saturday, 6/11

    Lesson Six: The Normal Distribution (Ch 6)

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Midterm Exam - Must be completed by midnight Sunday, 6/12

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Week#5 - Must be completed by midnight Saturday, 6/18

    Lesson Seven: Confidence Intervals and Sample Size (Ch 7)
    Lesson Eight: Hypothesis Testing  (Ch 8)
    w/ Lab Two: Hypothesis Testing for a Population Mean

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Week#6 - Must be completed by midnight Saturday, 6/25

    Lesson Nine: Correlation and Regression (Ch 10)
    w/ Lab Three: Correlation and Regression Analysis
    Lesson Ten: Chi-Square (Ch 11)
    w/ Lab Four: Chi-Square Testing

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Week#7 -  - Must be completed by midnight Saturday, 7/2

    Lesson Eleven: Analysis of Variance (Ch 11)
    w/ Lab Five: Analysis of Variance

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Final Exam - Must be completed by midnight Sunday, 7/3
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Grading System
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 seven and a cumulative final exam follows lesson eleven.

Final grades will be based on the following:

Homework Assignments (11):  220 points
Quizzes (11):  110 points
Laboratory Exercises (10):  200 points
Midterm Exam:  120 points
Cumulative Final Exam:  150 points
Total Possible:  800 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%