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PSYCH/625

Statistics for the Behavior Sciences

Online

Format

$2094

Estimated Tuition

credits

Total credits

weeks

Course length

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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

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.

Why UOPX

Why take courses at University of Phoenix

Accreditation that matters

We’ve been accredited by the Higher Learning Commission (hlcommission.org) or its predecessor for more than 40 years.

Real-world instructors

Learn from instructors who bring an average of 25 years of working experience to the classroom.

Affordable and potentially reimbursable

Our tuition and fees are competitive and fixed. Also, check to see if your employer will cover you for this course.

Next Steps

Start a conversation about your future with an enrollment representative today.

Start a conversation about your future with an enrollment representative today.

Call (844) 937-8679

Transfer Credits

Credit Transfer

Credit Transfer

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