Math 219H Syllabus 

Here is a link to the syllabus as a PDF

Course Description:  Beginning course in statistics.  Includes descriptive statistics, graphical displays of data, probability, confidence intervals, hypothesis testing, regression, contingency tables, ANOVA, and non-parametric statistics.  Includes use of technology.

Textbook Information:  Here is a link to the textbook we are using. You can buy either the eBook and print all of the workbook pages or buy the work book pre-printed. 

Student Learning Outcomes: Upon completion of this course, the student will be able to:

• Interpret data displayed in tables and graphs.
• Identify and critique sampling techniques and study designs.
• Calculate measures of central tendency and measures of spread for data sets and distributions.
• Apply the concepts of sample space and the principles of probability.
• Calculate expected value and probabilities using both binomial and normal random variables.
• Distinguish between population and sampling distributions.
• Use the Central Limit Theorem.
• Construct and interpret confidence intervals.
• Determine and interpret levels of statistical significance using p-values.
• Identify Type I and II errors and interpret technology-based output for hypothesis tests.
• Conduct and interpret hypothesis tests for one and two populations.
• Conduct and interpret hypothesis test using linear regression and ANOVA.
• Select the appropriate statistics procedure to answer statistical questions from disciplines including business, social sciences, psychology, life science, health science, and education.