Course Overview

Introduction to descriptive and inferential statistics used in education and data-driven decision making. Topics include commonly used descriptive statistics, exploratory data analysis, standardized scores, inferential reasoning, hypothesis testing, and parametric and nonparametric procedures and their assumptions including t-tests, one-way analysis of variance, correlation coefficients, bivariate regression, and chi-square. Emphasis is on understanding the logical bases of statistical tests of significance, selecting appropriate data analysis techniques, and using statistical software and interpreting its output.

Course Details

  • Course credit hours: 3