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Course Description

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 addition, this course examines the role of statistical analysis, statistical terminology, the appropriate use of statistical techniques, and interpretation of statistical findings through the applications and functions of statistical methods.

This undergraduate course is 5 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, Tuition Refund Policy and all University Policies in the Catalog for more information.

Topics and Objectives

Introduction to Statistics

  • Distinguish among the types of data.
  • Distinguish observational studies from designed experiments.
  • Identify sampling methods.
  • Explain experiment design.

Summarizing Data

  • Develop a frequency distribution based on raw data.
  • Create a graphical representation of data.
  • Interpret a graphical representation of data.
  • Calculate mean, median, and mode for ungrouped data.
  • Calculate range, variance, and standard deviation for ungrouped data.

Correlation and Regression

  • Develop a simple linear regression equation.
  • Predict the value of Y' for a given value of X using a simple linear regression equation.
  • Determine the strength of the linear relationship between two variables.

Probability

  • Compute and interpret probabilities.
  • Distinguish between the terms probability distribution and random variable .
  • Compute probabilities of outcomes for binomial experiments.
  • Compute probabilities of a Poisson probability distribution.

Probability Distributions

  • Describe the properties of the normal distribution.
  • Calculate probabilities for means and proportions based on a normal distribution using a z table.
  • Determine the appropriate confidence interval to construct.

Prerequisites

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.

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 888-484-1815.

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. 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.

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Enroll Now - Select a section to enroll in

Section Title
APPLIED STATISTICS
Type
Instructor Led
Days
T, M
Time
12:00AM to 11:59AM
Dates
Aug 13, 2019 to Sep 16, 2019
Campus
Online Campus
Building
Online Non-Degree
Schedule and Location
Contact Hours
119.8
Location
  • Online Campus
Course Fee(s)
Undergraduate Tuition credit (3 units) $1,194.00 Click here to get more information
Section Fees
Resource Fee $170.00 Mandatory
Potential Discount(s)
Credits/Units
3 Credit Hours
Section Title
APPLIED STATISTICS
Type
Instructor Led
Days
T, M
Time
12:00AM to 11:59AM
Dates
Sep 17, 2019 to Oct 21, 2019
Campus
Online Campus
Building
Online Non-Degree
Schedule and Location
Contact Hours
119.8
Location
  • Online Campus
Course Fee(s)
Undergraduate Tuition credit (3 units) $1,194.00 Click here to get more information
Section Fees
Resource Fee $170.00 Mandatory
Potential Discount(s)
Credits/Units
3 Credit Hours
Section Title
APPLIED STATISTICS
Type
Instructor Led
Days
T, M
Time
12:00AM to 11:59AM
Dates
Oct 22, 2019 to Nov 25, 2019
Campus
Online Campus
Building
Online Non-Degree
Schedule and Location
Contact Hours
119.8
Location
  • Online Campus
Course Fee(s)
Undergraduate Tuition credit (3 units) $1,194.00 Click here to get more information
Section Fees
Resource Fee $170.00 Mandatory
Potential Discount(s)
Credits/Units
3 Credit Hours
Section Title
APPLIED STATISTICS
Type
Instructor Led
Days
T, M
Time
12:00AM to 11:59AM
Dates
Nov 26, 2019 to Jan 13, 2020
Campus
Online Campus
Building
Online Non-Degree
Schedule and Location
Contact Hours
167.8
Location
  • Online Campus
Course Fee(s)
Undergraduate Tuition credit (3 units) $1,194.00 Click here to get more information
Section Fees
Resource Fee $170.00 Mandatory
Potential Discount(s)
Credits/Units
3 Credit Hours
Section Title
APPLIED STATISTICS
Type
Instructor Led
Days
T, M
Time
12:00AM to 11:59AM
Dates
Jan 14, 2020 to Feb 17, 2020
Campus
Online Campus
Building
Online Non-Degree
Schedule and Location
Contact Hours
119.8
Location
  • Online Campus
Course Fee(s)
Undergraduate Tuition credit (3 units) $1,194.00 Click here to get more information
Section Fees
Resource Fee $170.00 Mandatory
Potential Discount(s)
Credits/Units
3 Credit Hours
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