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KNPE 251 Introduction to Statistics Units: 3.00
An introduction to the analysis of data from real life situations. Covers study design, descriptive and inferential statistics. Topics include probability, t-tests, regression, Chi-square tests, analysis of variance. Emphasis is in the foundation of statistical inference and practical application of statistical methods using statistical software.
Learning Hours: 126 (12 Lecture, 18 Laboratory, 48 Online Activity, 48 Private Study)
Requirements: Prerequisite Level 2 or above and registration in a HLTH or KINE Plan.
Exclusion BIOL 243/3.0; CHEE 209/3.5; COMM 162/3.0; ECON 250/3.0; GPHY 247/3.0; HSCI 190/3.0; NURS 323/3.0; POLS 285/3.0; POLS 385/3.0*; PSYC 202/3.0; SOCY 211/3.0; STAM 200/3.0; STAT 263/3.0.
Offering Faculty: Faculty of Arts and Science
Course Learning Outcomes:
- Identify the features of a data set to determine how best to summarize and display it.
- Choose the appropriate statistical test and provide the rationale for selection.
- Compute basic parametric statistical tests to test hypotheses.
- Interpret the results of statistical tests and data software output to draw valid conclusions.
- Communicate results of statistical analyses with clear figures and text.
- Apply knowledge of statistics and research design (e.g., sampling) to critically evaluate research findings.