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MTH/540

Statistics

Course level: EDU Graduate

Math

Online

Format

$1,620

Estimated Tuition

3 credits

Total credits

6 weeks

Course length

Take this course on its own, or as part of a degree or certificate program.

Start when you're ready

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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.

University of Phoenix reserves the right to modify courses. While widely available, not all programs are available to residents of all states. Please check with a University Enrollment Representative.

This course surveys descriptive and inferential statistics with emphasis on practical applications of statistical analysis. The principles of collecting, analyzing, and interpreting data are covered in this course. It examines the role of statistical analysis, terminology, the appropriate use of techniques, and interpretation of statistical findings through the applications and functions of statistical methods.

Prerequisites

This graduate level course requires proof of completion of a Bachelor's degree. Be prepared to provide documentation during the checkout process.

Required materials

The materials required for this course are covered in your resource fees.

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.

University of Phoenix reserves the right to modify courses. While widely available, not all programs are available to residents of all states. Please check with a University Enrollment Representative.

Earn these career-relevant skills in weeks, not years.

  • Evaluate the use of statistics in real-world applications.
  • Describe descriptive and inferential statistical methods and the fundamental elements of statistics.
  • Differentiate between qualitative and quantitative variables.
  • Create visual representations of quantitative and qualitative data.
  • Describe the distribution of quantitative data in terms of shape, center, and spread.

  • Calculate central tendency and variability in the context of data sets, accounting for possible effects of extreme data points.
  • Differentiate between discrete, continuous, and conditional probability.
  • Describe how independence and conditional probability are applied in interpreting data.
  • Calculate probabilities of compound events in a uniform probability model by applying the rules of probability.
  • Evaluate the need to calculate expected values for the purpose of solving problems.
  • Describe how the characteristics of standard normal distribution and the Empirical Rule can be used to interpret the significance of standard deviation.

  • Evaluate the steps of hypothesis testing.
  • Determine the distribution of the sample mean and the distribution of the sample.
  • Distinguish an hypothesis regarding a population proportion verses a hypothesis regarding a population mean.
  • Distinguish between the t-test and z-test.
  • Formulate null and alternative hypotheses.
  • Calculate a test statistic in a one-tailed and two-tailed tests.
  • Determine statistically whether to accept or reject the null hypothesis.
  • Interpret the results of a hypothesis test.

  • State the steps of the decision rule for a hypothesis regarding the standard deviation.
  • Perform a chi-square test using equal and unequal expected frequencies.
  • Determine normality using a goodness-of-fit test.
  • Summarize categorical data in two-way frequency tables.
  • Interpret relative frequencies in the context of the data.
  • Investigate patterns of association in bivariate data using scatter plots.

  • Use technology to calculate coefficient of correlation and coefficient of determination.
  • Distinguish between correlation and causation.
  • Develop a single linear regression equation.
  • Predict the value of y for a given value of x using a single linear regression equation.
  • Apply analysis of residuals, standard error of estimate, confidence intervals, and prediction.

  • Review course topics and objectives.
  • Apply statistics to real-world scenarios.

Why take courses at University of Phoenix?

University of Phoenix serves busy adults

Accreditation that matters

We’ve been accredited by the Higher Learning Commission (hlcommission.org) 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.

Transfer-friendly courses

Before you enroll in a course, check with your school of choice to make sure they will accept your transfer credits and to understand any requirements or limitations. Then you can request your transcripts.

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 contact us at (866) 354-1800.

Enrollment representative Sarah P.

Enrollment Rep. Sarah P.

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University of Phoenix reserves the right to modify courses. Although our continuing teacher education courses are accepted by some state agencies in the United States toward teacher certifications and endorsements, this may not be the case in all states or foreign jurisdictions. If you plan to use courses for certification or endorsement, please check with your own state agency and your school district for applicability. Continuing teacher education courses are not eligible to apply to degree programs at University of Phoenix. These courses are not eligible for federal financial aid. While widely available, not all programs are available to residents of all states. Please check with a University Enrollment Representative. If you have a question contact us at (866) 354-1800.