Introduction to Statistics
 Course: PSY230 First Term: 1996 Fall Final Term: Current Final Term: 2016 Summer Lecture   3 Credit(s)   3 Period(s)   3 Load       Credit(s)    Period(s)    Load Subject Type: Academic Load Formula: S

Description: 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.

MCCCD Official Course Competencies
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 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. 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)
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
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

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.