Katherine Ann Cook
Presentation of key concepts for understanding and judging reports of statistical analyses and for performing and reporting valid statistical analyses using a limited set of measures and tests.
The goal of this course is to prepare students to read and understand quantitative and statistical material. This course covers introductory probability and statistics concepts, with an emphasis on practical applications. Topics include descriptive and inferential statistics, correlation, regression, and normal distributions. Students will use computational tools to analyze data.
Text: Statistical Reasoning For Everyday Life (3e) Bennett
Student learning goals
Analyze real-world data using statistical methods.
Construct and analyze visual displays of data.
Calculate and explain measures of central tendency (mean, median, mode) and measures of variance.
Calculate and interpret correlation coefficients and regression models.
Perform hypothesis tests comparing means.
Use computational tools to analyze data sets.
General method of instruction
Instruction is through participatory lectures, class discussions, small group work.
Knowledge of algebra is required; knowledge of calculus is not required.
Class assignments and grading
Assignments include online homework assignments from the textbook, a project, and exams.
Grades are determined based on homework, a project, and exams.