 Basic Course Information:
 Course Description: Techniques of analysis of numerical data, including measures of central tendency, dispersion, probability statistical inference, sampling theory, linear correlation, regression, probability distributions, tests of significance, and analysis of variance.
 Any required prerequisites: The student should have successfully completed DMT 033, Math 1332 or have the appropriate placement scores, or consent of the instructor.
 Student Learning Outcomes
 Explain the use of data collection and statistics as tools to reach reasonable conclusions.
 Recognize, examine and interpret the basic principles of describing and presenting data.
 Compute and interpret empirical and theoretical probabilities using the rules of probabilities and combinatorics.
 Explain the role of probability in statistics.
 Examine, analyze and compare various sampling distributions for both discrete and continuous random variables.
 Describe and compute confidence intervals.
 Solve linear regression and correlation problems.
 Perform hypothesis testing using statistical methods.
 Testing Requirements
 Students will be required to take two major tests during the semester. These tests (midterm and final) will be proctored.
 Students will be allowed to find a testing center near their current location and give the details to their instructor.
 Students are not allowed to use their book or notes on the major tests.
 Grading
 Major Tests 40%  Textbook Quizzes 30%  Activity Quizzes 30%
 Information on Books and Other Course Materials
 Required Book: Elements of Statistics 9E by Canada  BVT Publishing ISBN 9781618821256 or 9781627513395
 Calculators: A standard calculator with square root and log function.
 Online access: Students will access course material via MOODLE (ecampus.wtc.edu). It is essential that students have reliable and frequent access to a computer.
 Other Policies, Procedures and important dates: Please refer to the WTC Course Catalog for the following:
 Campus Calendar
 Final exam schedule
 How to drop a class
 Withdrawal information
 Student Conduct/Academic Integrity
 Students with disabilities
 Course Organization and Schedule
 Weekly Course Schedule
Schedule 
Textbook 
Topic 
Topic 1 
Chapter 1 
Introduction, basic concepts, overview of course and statistical process 
Topic 2 
Chapter 2 
Summarizing and graphing data 
Topic 3 
Chapter 3 
Measures of central tendency and variability 
Topic 4 
Chapter 4 
Probability 
Topic 5 
Chapter 5 
Probability distributions 
Topic 6 
Chapter 6 
Normal Probability Distribution 
Topic7 
Chapter 7 
Estimates and sample sizes 
Topic 8 
Chapter 8 
Hypothesis Testing 
Topic 9 
Midterm 

Topic 10 
Chapter 9 
Inferences from Two Samples 
Topic 11 
Chapter 10 
Regression/Correlation 
Topic 12 
Chapter 11 
Contingency Tables 
Topic 13 
Chapter 12 
Analysis of Variance 
Topic 14 
Chapter 13 
Nonparametric Statistics 
Topic 15 
Final Exam 
Review 
Disclaimer: Schedule and content is subject to change at the instructor’s discretion.
Last Modified:
August 6, 2015
