MCCCD Program Description

Laboratory for Statistics

Course: PSY231

First Term: 2022 Fall

Laboratory 1.0 Credit(s) 2.0 Period(s) 2.0 Load
Subject Type: Academic
Load Formula: T - Lab Load

Description: Applications of inferential and descriptive statistics to statistical software in the field of psychology.

MCCCD Official Course Competencies
1. Demonstrate how statistics are used within the scientific method. (I, II, III, IV) 2. Use an appropriate scale of measurement to operationalize a construct of interest. (I, II, III, IV) 3. Use an appropriate statistical test based on the research design (research question, data type, and number of variables). (I, II, III, IV) 4. Organize data for entry or analysis using statistical software. (II, III, IV) 5. Assess accuracy of data (including consideration of missing data and outliers) using statistical software. (II, III, IV) 6. Perform analysis of descriptive statistics using statistical software. (II, III) 7. Perform analysis of inferential statistics using statistical software. (I, II, IV) 8. Evaluate whether data meet assumptions for a statistical test. (II, IV) 9. Verify potential violation of assumptions of a statistical test to determine the validity and reliability of results. (I, II, IV) 10. Utilize effect sizes and p-values to interpret statistical results. (II, IV) 11. Interpret statistical output to make statistical decisions. (II, III, IV) 12. Communicate statistical concepts and research results using both technical (American Psychological Association (APA) format) and non-technical language. (I, II, III, IV) 13. Analyze the practical implications and ethical considerations of statistical analysis in a variety of contexts beyond the classroom. (I, II, III, IV)
MCCCD Official Course Competencies must be coordinated with the content outline so that each major point in the outline serves one or more competencies. MCCCD faculty retains authority in determining the pedagogical approach, methodology, content sequencing, and assessment metrics for student work. Please see individual course syllabi for additional information, including specific course requirements.

MCCCD Official Course Outline
I. Fundamentals of statistics A. Population and samples B. Sampling C. Research designs D. Variables E. Evaluating sources II. Introduction to software A. Organizing data B. Statistical test selection C. Data entry D. Data analysis E. Assessing data accuracy F. Ethics III. Descriptive statistics A. Organization and display of data 1. Frequency distributions (tables and graphs) 2. Shapes of distributions B. Measures of central tendency 1. Mean 2. Median 3. Mode C. Measures of variability 1. Variance 2. Standard deviation 3. Standard error of the mean D. z-scores IV. Inferential statistics A. Hypothesis testing B. Test statistics C. Assumptions D. p-value E. Effect size F. Interpreting statistical results

MCCCD Governing Board Approval Date: June 22, 2021

All information published is subject to change without notice. Every effort has been made to ensure the accuracy of information presented, but based on the dynamic nature of the curricular process, course and program information is subject to change in order to reflect the most current information available.