Course Description

This applications-driven course prepares students to critically analyze and solve problems using quantitative reasoning. Students approach real world scenarios using numerous reasoning skills and mathematical literacy to draw conclusions.

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.

Course Objectives

Data in the Real World

• Analyze arguments using data.
• Evaluate statistical studies and determine if they have bias.
• Interpret frequency tables, bar graphs, pie charts, and histograms.
• Interpret multiple bar graphs, stack plots, and contour maps.
• Distinguish between correlation and causality.
• Interpret the correlation coefficient.
• Interpret data and visuals from real-world sources.

Statistical Analysis

• Analyze how data is obtained and summarized.
• Draw appropriate conclusions based on data.
• Calculate an appropriate measure of central tendency for a given scenario.
• Calculate and interpret standard deviation and measures of variation for data.
• Analyze data distribution using bell curves, standard deviation, mean, and probability.

Mathematical Modeling

• Use mathematical tools to model real-world scenarios and solve open-ended questions.
• Use technology to solve problems.
• Use two-way tables to solve real-world scenarios.
• Create frequency tables, histograms, pie charts, scatter plots and other graphs to visually represent data.
• Describe the limitations and/or implications of quantitative reasoning.

Probability

• Use the fundamental counting principle to count outcomes.
• Determine probabilities using permutations, combinations or other appropriate techniques.
• Determine the probability of independent, dependent, overlapping and non-overlapping events.
• Determine the expected value for an experiment.
• Explain how the Law of Large Numbers applies to a situation.
• Assess the risk in a given scenario.
• Use counting theories to solve real-world probability scenarios.

Financial Management

• Explain how to control finances including creating a budget.
• Apply relevant formulas to personal finances.
• Determine loan payments, credit cards, mortgages, and payoff times.
• Determine the appropriate investment and savings plan.
• Describe various types of income and taxes.
• Apply appropriate formulas to real-world financial scenarios.

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.