PSY 270 - Statistics for Behavioral and Social Sciences

 
Description
This course introduces concepts of descriptive and inferential statistics used in the behavioral and social sciences. It includes: central tendency, variability and distributions; correlation, regression, chi square and other non-paramentic tests; hypothesis testing and sampling; type I error, type II error, confidence intervals and power; statistical packages and their application to hypothesis testing.

1. Analyze statistical choices in published research.
2. Compute and interpret statistical formula.
3. Identify the uses and limits of specific statistics.
4. Choose appropriate statistics for analyzing data.
5. Analyze the type of data that is appropriate for hypothetical research studies.
6. Perform statistical analysis using software packages.
7. Describe the relationship between samples and populations.
8. Identify levels of measurement and statistics appropriate for the levels of measurement: nominal, ordinal, interval and ratio.
9. Describe the difference between descriptive and inferential statistics.

1. Samples and populations
2. Levels of measurement, chi square tests for nominal data, non-paramentic tests for ordinal data
3. Using frequency distributions to summarize data
4. Measures of central tendency and dispersion
5. Z-scores and z-test
6. The standard normal curve and elementary probability
7. Correlation coefficients and regression
8. Proportion of variance
9. Null and alternative hypotheses and hypothesis testing
10. Type I and type II error
11. Single sample t-test, independent samples t-test, related samples t-test
12. Effect size
13. One-way within subjects ANOVA, one-way between subjects ANOVA
14. Post-hoc tests

• Quantitative & Scientific Reasoning
• Technological Competence

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