Maricopa Community Colleges  PSY230   19966-99999 
Official Course Description:   MCCCD Approval:  03/28/95  
PSY230      19966-99999 LEC 3 Credit(s) 3 Period(s)
Introduction to Statistics
An introduction to basic concepts in descriptive and inferential statistics, with emphasis upon application to psychology. Consideration given to the methods of data collection, sampling techniques, graphing of data, and the statistical evaluation of data collected through experimentation. Required of psychology majors. Prerequisites: PSY101 with a grade of "C" or better and MAT092 or equivalent, or permission of instructor.
 
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MCCCD Official Course Competencies:
 
PSY230   19966-99999 Introduction to Statistics
1. Prepare frequency and cumulative frequency distributions for grouped and ungrouped data. (I)
2. Prepare frequency and cumulative frequency polygons for grouped and ungrouped data. (I)
3. Compute mean, median, mode, and percentiles for grouped and ungrouped data. (I)
4. Identify the most appropriate measure of central tendency for given data. (I)
5. Compute variance, standard deviation, and estimate of population standard deviation from a sample for grouped and ungrouped data. (I)
6. Compute and interpret z-scores. (I)
7. Compute Pearson and Spearman for grouped and ungrouped data. (I)
8. Interpret the significance of Pearson and Spearman for given data. (I)
9. Compute area under the normal curve for given z-scores or standard deviations. (II)
10. Explain the concept of sampling distributions and the Central Limit Theorem. (II)
11. Compute and interpret the significance of a t-test for the hypothesized mean for a single distribution. (II)
12. Compute and interpret the significance of a t-test of the difference between two means from matched or independent samples. (II)
13. Compute and interpret one and two factor ANOVAs. (II)
14. Compute and interpret chi-square analyses. (III)
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MCCCD Official Course Outline:
 
PSY230   19966-99999 Introduction to Statistics
    I. Descriptive statistics
        A. Organization of data
          1. Frequency destribution
          2. Graphic
        B. Measures of central tendency
          1. Mean
          2. Median
          3. Percentiles
          4. Mode
        C. Measures of variability
          1. Variance
          2. Standard deviation
          3. Estimated measures
          4. Z-scores
        D. Correlation
          1. Pearson r
          2. Spearman rho
          3. Others
      II. Inferential statistics
          A. Normal curve
          B. Testing hypothesized mean for single distribution
          C. Testing difference between means from two distributions
            1. Matched distributions
            2. Independent distributions
          D. Analysis of variance
            1. One factor ANOVAS
            2. Two factor ANOVAS
        III. Non-parametric statistics
            A. Chi-square analysis
            B. Other
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