MTH 119 : Fundamental Statistics
This course provides a survey of statistical methods, with examples taken from sociology, psychology, education, and related fields. A minimum background in mathematics is assumed. Topics include descriptive statistics, measure of central tendency and variability, probability, binomial and normal distributions, estimation, correlation, regression sampling distributions, and hypothesis testing. Prerequisite: Introductory Algebra Competency. Three lecture hours per week. 3 credits Fall, Spring, Summer
- Create and interpret distributions of data using various types of charts and graphs.
- Determine the appropriate measures of center and dispersion for different types of distributions and use them to describe the properties of the distributions, and
- Perform least squares regression and use the results to describe and make inferences about data.
- Determine and use simple probability to construct a discrete probability distribution and determine the expected value and use to solve applications.
- Solve problems using the normal distribution and sampling distribution of the mean and proportion (with sigma known and unknown) including finding probabilities
- Set up and perform hypothesis tests.