PSYCH/625
Statistics for the Behavior Sciences
Online
Format
$2094
Estimated Tuition
3 credits
Total credits
6 weeks
Course length
Start when you're ready
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Course level: Graduate
This course presents fundamental statistical concepts and tools for understanding and analyzing data from studies in the social and behavioral sciences. Topics include measures of central tendency and dispersion, probability theory, data distributions, significance testing and statistical inference. Students will learn how to analyze and interpret data from psychological studies using descriptive statistics, correlational methods, t-tests and analysis of variance procedures.
Prerequisites
- PSYCH/610 – Research Methods in Psychology or equivalent
- This graduate level course requires proof of completion of a Bachelor's degree.
What you'll learn
Course skills and outcomes
Week 1
- Analyze the role of statistics in psychological research.
- Discriminate between descriptive and inferential statistics.
- Compare the four different levels of measurement.
- Interpret psychological data using descriptive statistics.
- Create graphs and tables with descriptive statistics in Microsoft® Excel®.
Week 2
- Calculate a z score to understand its purpose.
- Identify how probability is used in everyday life.
- Explain the role of probability in statistical analysis using the standard normal distribution.
- Determine the null and alternative hypotheses.
- Determine the severity of Type I and Type II errors as they relate to hypothesis testing.
- Explain the meaning of statistical significance.
Week 3
- Determine when a t test and z test are used.
- Explain when the t test for independent groups should be used.
- Interpret data from calculated test statistics.
Week 4
- Interpret calculated results of an ANOVA.
- Interpret Tukey’s post hoc test.
- Explain the advantages of using an ANOVA over the use of multiple t tests.
Week 5
- Explain the difference between correlation and causation.
- Interpret statistical significance in reference to the correlation coefficient for meaningfulness.
- Evaluate the Microsoft® Excel® output of a Pearson product-moment correlation.
- Explain the logic of prediction with linear regression.
Week 6
- Present statistical analyses.
- Conduct a chi-square test in Microsoft® Excel® and interpret results.