KINS 2206: Introduction to Statistics in Kinesiology

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Course Format Lecture 2.0 h + Seminar 0.0 h + Lab. 2.0 h
Credits 3.0

Course Description

Research in kinesiology is often quantitative in nature and employs scientific methods. An understanding of statistical analyses and how to interpret them are essential to reading and critically evaluating kinesiology research. In this course, students learn about the stages of the research process, sources of data, descriptive statistics, applications of the normal curve and Z-scores, basic probability, standard error, statistical inference (confidence intervals and hypothesis testing), t-tests, one-way analysis of variance (ANOVA), correlation, regression, and selected non-parametric analysis.

Priority registration in this course is offered to students admitted to the Diploma in Kinesiology.

Prerequisite(s): One of the following: a minimum "C" grade in Foundations of Mathematics 11, Pre-calculus 11, Foundations of Mathematics 12, or Pre-calculus 12; or a minimum "C-" grade in MATH 1150; or MDT 053.

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