Students apply elementary probability theory, descriptive and inferential statistics, and reasoning to real-world situations. The course embeds foundational skill into topics including probability, statistics, and reasoning.
This undergraduate course is 5 weeks.
This course has a prerequisite. Please see details in the Prerequisite section below.
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, Tuition Refund Policy and all University Policies in the Catalog for more information.
Sampling Distributions and Central Limit Theorem
- Explain the purpose of sampling distributions.
- Explain how sampling error affects the need for sampling distributions.
- Calculate the mean and standard deviation of a variable given mean and standard deviation of a population.
- Apply the central limit theorem.
- Determine the sampling distribution of the sample mean.
Confidence Intervals and Estimates
- Identify quantities as parameters or statistics.
- Define the given population and sample.
- Calculate confidence intervals including margins of error for means.
- Calculate the required sample size to estimate a population mean.
Correlation and Regression
- Graph linear equations.
- Calculate the slope and intercepts of a line.
- Interpret the slope and intercepts of a line.
- Determine when using a regression line is appropriate.
- Calculate the correlation coefficient for a set of paired data.
- Interpret the correlation coefficient for a set of paired data.
- Use technology to graph data, create a trend line, and calculate the equation of the trend line.
- Analyze how confidence intervals relate to hypothesis testing.
- Use the P-value approach to test a hypothesis.
- Perform the five steps in hypothesis testing with one- and two-tailed z-tests.
- Perform the five steps in hypothesis testing with one- and two-tailed t-tests.
- Discuss possible type 1 and type 2 errors in hypothesis testing.
- Use statistics to analyze application problems.
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.
This course requires the prerequisite below. Click on the prerequisite course to review the course topics and objectives.
- MTH/217 – Statistics I OR
- one college-level statistics course, OR
- one college-level course that primarily included topics of central tendency and description of data
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.
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. More information about eligibility requirements, policies, and procedures can be found in the catalog.
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.