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BIOL 243  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.
NOTE Also offered online, consult Arts and Science Online (Learning Hours may vary).
Learning Hours: 120 (36 Lecture, 12 Tutorial, 72 Private Study)  
Requirements: Prerequisite None. Exclusion CHEE 209/3.5; COMM 162/3.0; ECON 250/3.0; GPHY 247/3.0; HSCI 190/3.0; KNPE 251/3.0; 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. One-Way Exclusion May not be taken with or after STAT 269/3.0.  
Offering Faculty: Faculty of Arts and Science  

Course Learning Outcomes:

  1. Identify the study design for a given question, and define the accompanying statistical population, sample, and observation unit.
  2. Distinguish descriptive statistics from inferential statistics and define the role of each in quantitative analyses.
  3. Compute descriptive statistics for a dataset using contemporary software and create the appropriate visualizations.
  4. Identify and conduct the appropriate statistical test for a question and dataset using contemporary software.
  5. Connect the results of statistical tests to the scientific question to draw appropriate conclusions.
  6. Communicate the results of statistical analyses in written form.