Maricopa Community Colleges  PSY231   19954-99999
Official Course Description: MCCCD Approval: 03/28/95
PSY231 19954-99999 LAB 1 Credit(s) 2 Period(s)
Laboratory for Statistics
Applications of inferential and descriptive statistics to computers in the field of psychology. Prerequisites: None. Corequisites: PSY230.
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MCCCD Official Course Competencies:

PSY231   19954-99999 Laboratory for Statistics
 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 intepret the significance of a t-test of the difference between two means from matched or inependent 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)
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MCCCD Official Course Outline:

PSY231   19954-99999 Laboratory for Statistics
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
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