MATH 250 - Introduction to Statistics

Credits 3
Introduces basic concepts of analysis and interpretation of data collected in a statistical frame work. Primary course objectives are to develop mastery of basic statistical concepts, to develop the ability to apply these concepts correctly, to communicate effectively in writing the results of a statistical analysis and to gain exposure to modern statistical computing software. Topics include but are not limited to summarizing and graphing data, central tendency, measures of variations, measures of position, binomial distribution, normal distribution, estimation, hypothesis testing, correlation and regression, and one-factor analysis of variance (ANOVA).
May not be audited. Degree completion only.