Course Description
Math 12 is a comprehensive study of measures of central tendency and variation, correlation and linear regression, probability, the normal distribution, the t-distribution, the chi-square distribution, estimation, testing of hypotheses, analysis of variance, and the application of statistical software to data, including the interpretation of the relevance of the statistical findings. Applications using data from business, education, health science, life science, psychology, and the social sciences will be included.
Student Learning Objectives
Upon successful completion of the course, students should be able to demonstrate the following skills:
Distinguish among standard methods of collecting data and interpret data displayed in tables and graphically.
Calculate measures of central tendency and variation for continuous and discrete data sets.
Calculate and interpret probabilities for normal distributions.
Construct and interpret confidence intervals.
Formulate hypotheses from samples from one, two or more populations, select the appropriate technique and interpret the results by using the traditional or the p-value method.