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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:

  1. Identify the features of a data set to determine how best to summarize and display it.
  2. Choose the appropriate statistical test and provide the rationale for selection.
  3. Compute basic parametric statistical tests to test hypotheses.
  4. Interpret the results of statistical tests and data software output to draw valid conclusions.
  5. Communicate results of statistical analyses with clear figures and text.
  6. Apply knowledge of statistics and research design (e.g., sampling) to critically evaluate research findings.