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Jul 31, 2025
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PSY 2750 - PSYCHOLOGICAL STATISTICS
credits: 4.0
Intended for Psychology Majors. Statistical procedures are the tools used by psychologists to analyze and interpret experimental findings. Will provide an introduction to the most frequently encountered techniques for describing data and making inferences in psychological research. Students will learn statistical theory, apply statistical formulas, and use both hand-held calculators and software for statistical analyses. Specific topics included are: general overview of the use of statistics in data analysis, scales of measurement, variables, frequency distributions, graphing, probability, the normal curve (including percentile ranks and z-scores), measures of central tendency, measures of variability, intro to hypothesis testing, sampling distributions, confidence intervals, effect sizes, one sample t-test, independent and dependent t-tests, simple ANOVA, factorial ANOVA, correlation, regression, non-parametric tests (Chi-square Goodness of Fit and Chi-square Test for Association). The information students learn will help them become informed consumers and producers of psychological research. Objectives: A) Explain the general uses of statistics in psychological data analysis and hypothesis testing; B) Define and differentiate between various scales of measurement, samples and populations, independent and dependent variables; C) Use handheld graphing calculators and statistical software to accomplish a variety of computations and visual representations of data; D) Describe, interpret, compare, and identify measures of central tendency and measures of variability; E) Compute and explain standard scores (z scores), percentiles, percentile ranks, and confidence intervals; F) Test inferential statistical hypotheses including calculation of t-tests, ANOVA, Chi-Square, Pearsons r, and linear regression; G) Interpret statistical findings in the context of their level of statistical significance, including the evaluation of effect size, and explain these findings using common language. Distinguish between statistical significance and practical significance. Method of Instruction: Lecture and in-class-lab problem solving. Method of Evaluation: 20% Quizzes, 20% Homework (usually SPSS results with written interpretations) and 60% Exams. Meets *MQR Distribution Requirements.
Prerequisite(s): MAT 1030 - COLLEGE ALGEBRA and PSY 1010 - INTRODUCTORY PSYCHOLOGY (or) MAT 1930 - IMMERSION COLLEGE ALGEBRA and PSY 1010 - INTRODUCTORY PSYCHOLOGY (or) MAT 2010 - CALCULUS I and PSY 1010 - INTRODUCTORY PSYCHOLOGY and MAT 2020 - CALCULUS II and PSY 1010 - INTRODUCTORY PSYCHOLOGY (or) MAT 1091 - PRE-CALCULUS I and PSY 1010 - INTRODUCTORY PSYCHOLOGY (or) MAT 1092 - PRE-CALCULUS II and PSY 1010 - INTRODUCTORY PSYCHOLOGY (or) MAT 1060 - MODELING THE REAL WORLDWITH MATHEMATICS and PSY 1010 - INTRODUCTORY PSYCHOLOGY
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