MCCCD Program Description

Laboratory for Statistics

Course: PSY231

First Term: 2018 Fall

Laboratory 1 Credit(s) 2 Period(s) 2 Load
Subject Type: Academic
Load Formula: T Lab Load

Description: Applications of inferential and descriptive statistics to computers in the field of psychology

MCCCD Official Course Competencies
1. Use a computer program to prepare frequency and cumulative frequency distributions for grouped and ungrouped data. (I) 2. Use a computer program to prepare frequency and cumulative frequency polygons for grouped and ungrouped data. (I) 3. Use a computer program to compute mean, median, mode and percentiles for grouped and ungrouped data. (I) 4. Identify the most appropriate measures of central tendency for given data. (I) 5. Use a computer program to compute variance, standard deviation, and estimated population standard deviation from a sample for grouped and ungrouped data. (I) 6. Use a computer program to compute and interpret z-scores. (I) 7. Use a computer program to compute Pearson r and Spearman rho for grouped and ungrouped data. (I) 8. Interpret the significance of Pearson r and Spearman rho for given data. (I) 9. Use a computer program to compute areas under the normal curve for given z-scores or standard deviations. (II) 10. Discuss the concept of sampling distributions and the Central Limit Theorem. (II) 11. Use a computer program to compute and interpret the significance of a t-test for the hypothesized mean for a single distribution. (II) 12. Use a computer program to compute and interpret the significance of a t-test of the difference between two means from matched or independent samples. (II) 13. Use a computer program to compute and interpret one and two factor ANOVAs. (II) 14. Use a computer program to compute and interpret chi-squares analyses. (III)
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. Descriptive Statistics A. Organization of Data B. Measures of Central Tendency C. Measures of Variability D. Correlation II. Inferential Statistics A. The Normal Curve B. Testing Hypothesized Mean for a Single Distribution C. Testing the Difference Between Means from Two Distributions 1. Matched Distributions 2. Independent Distributions D. Analysis of Variance III. Non-Parametric Statistics

MCCCD Governing Board Approval Date: 3/28/1995

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.