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Course Description

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.

This graduate course is 6 weeks.

This course has a prerequisite. Please see details in the Prerequisite section below.

PLEASE NOTE:
Attendance and participation are mandatory in all university courses, and specific requirements may differ by course. If attendance requirements are not met, a student may be removed from the course. Please review the Course Attendance Policy in the Catalog for more information.

Course Objectives

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.

Notes

A prerequisite is required for this course. The purpose of a prerequisite is to ensure students have the knowledge and/or skills needed to be successful in the course. Students are required to provide proof of prerequisite during the enrollment/registration process. To meet to a course prerequisite requirement, a student must have successfully completed the prerequisite course at University of Phoenix, provide proof via transcript of completing a comparable course (at least 75% match) or higher level course with at least a grade of C at another institution or have a University of Phoenix approved Student Appeal on file with the University.

During the checkout process you will be prompted to provide proof of the requirement(s). If you completed the prerequisite at another institution be prepared to upload an official/unofficial transcript. If you have questions about meeting the prerequisite requirements for this course please contact an enrollment representative at 866-354-1800.

This course requires the prerequisite below. Click on the prerequisite course to review the course topics and objectives.

Prerequisites

Disclaimers

The University of Phoenix reserves the right to modify courses.

While widely available, not all programs are available in all locations or in both online and on-campus formats. Please check with a University Enrollment Representative

Transferability of credit is at the discretion of the receiving institution. It is the student’s responsibility to confirm whether or not credits earned at University of Phoenix will be accepted by another institution of the student’s choice.

If you have a question please contact us at 866-345-1800.

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STATISTICS FOR THE BEHAVIOR SCIENCES
Type
Instructor Led
Days
T, M
Time
12:00AM to 11:59AM
Dates
Jan 18, 2022 to Feb 28, 2022
Campus
Online Campus
Building
Online Non-Degree
Schedule and Location
Contact Hours
143.8
Location
  • Online Campus
Course Fee(s)
Graduate Tuition credit (3 units) $2,094.00 Click here to get more information
Section Fees
Resource Fee $195.00 Mandatory
Credits/Units
3 Credit Hours
STATISTICS FOR THE BEHAVIOR SCIENCES
Type
Instructor Led
Days
T, M
Time
12:00AM to 11:59AM
Dates
Mar 01, 2022 to Apr 11, 2022
Campus
Online Campus
Building
Online Non-Degree
Schedule and Location
Contact Hours
143.8
Location
  • Online Campus
Course Fee(s)
Graduate Tuition credit (3 units) $2,094.00 Click here to get more information
Section Fees
Resource Fee $195.00 Mandatory
Credits/Units
3 Credit Hours
STATISTICS FOR THE BEHAVIOR SCIENCES
Type
Instructor Led
Days
T, M
Time
12:00AM to 11:59AM
Dates
Apr 12, 2022 to May 23, 2022
Campus
Online Campus
Building
Online Non-Degree
Schedule and Location
Contact Hours
143.8
Location
  • Online Campus
Course Fee(s)
Graduate Tuition credit (3 units) $2,094.00 Click here to get more information
Section Fees
Resource Fee $195.00 Mandatory
Credits/Units
3 Credit Hours
STATISTICS FOR THE BEHAVIOR SCIENCES
Type
Instructor Led
Days
T, M
Time
12:00AM to 11:59AM
Dates
May 24, 2022 to Jul 04, 2022
Campus
Online Campus
Building
Online Non-Degree
Schedule and Location
Contact Hours
143.8
Location
  • Online Campus
Course Fee(s)
Graduate Tuition credit (3 units) $2,094.00 Click here to get more information
Section Fees
Resource Fee $195.00 Mandatory
Credits/Units
3 Credit Hours
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