PSYC-2317 Statistical Methods in Psychology

This course covers descriptive and inferential statistics used in psychological research and assessment. It includes measurement, characteristics of distributions; measures of central tendency and variability; transformed scores; correlation and regression; probability theory; and hypotheses testing and inference. Lec 3, Cr 3

Credits

3

Prerequisite

PSYC-2301, MATH-1314

Outcomes

  1. Compute and interpret empirical and theoretical probabilities.
  2. Define and explain the characteristics of data based on their reliability, validity, and scales of measurement.
  3. Interpret visual representations of data, such as graphs and tables.
  4. Compute and interpret descriptive statistics, such as mean, median, and mode; standard deviation and range; and transformed scores.
  5. Compute and interpret inferential statistics and tests, such as z test, t test, ANOVA, and Chi-Square.
  6. Calculate, evaluate, and interpret simple linear correlation/regression.
  7. Construct and interpret confidence intervals.
  8. Examine, analyze, and compare various sampling distributions.
  9. Formulate, perform, and interpret hypotheses tests.
  10. Identify the appropriate statistical analyses for given research problems, questions, hypotheses, and data sets.
  11. Apply statistical knowledge to the interpretation of psychological research.
  12. Explain features and purpose of statistical software packages.