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WGU C723 Quantitative Analysis for Business – Exam Prep with Q&A and Formulas

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Master WGU C723 Quantitative Analysis for Business with this detailed exam study guide. This PDF includes practice questions and answers covering key topics such as descriptive and inferential statistics, decision trees, expected monetary value, linear programming, inventory management (EOQ/EPQ), project management (PERT/CPM), forecasting, and data visualization. Complete with essential formulas, step-by-step examples, and clear explanations, this resource is designed to help you confidently approach the OA. Perfect for WGU students seeking a structured review of quantitative methods in business.

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WGU C723 QUANTITATIVE ANALYSIS FOR
BUSINESS EXAM Q&A LATEST EXAM
UPDATE


Nonnumeric Data

Data of a form such as words, symbols, or letters that are not used in
calculations




Numerical Data

Data represented by numbers




Trendline

Line that shows the general direction of the relationship of points over time




Objective Data

Measurable data often obtained through observations or testing




Page | 1

,Correlation

Measure of the strength of the linear relationship between variables

-does not apply cause and affect "shoe size doesn't affect reading ability even
though they are closely related in grades school"

-used to compare two variables to determine the strength of the linear
relationship between them




Quantitative Analysis

Analysis using objective data




Qualitative Analysis

Analysis using subjective Data




Response Variable

Another name for the dependent variable




Explanatory Variable

Another name for the dependent variable

Page | 2

,Negative Correclation

Correlation that occurs when one variable increases and the other variable
decreases




Positive Correlation

Correlation that occurs when one variable and the other




Metric

Measurement used to gauge performance




Forecasting

Method or process used to make short range decisions where the actual
outcomes have not yet occurred




Page | 3

, Subjective Data

Non-measurable data often obtained through surveys or interviews




Descriptive Statistics

The analysis of data, to describe, interpret, and summarize data in a meaningful
way




Inferential Statistics

The analysis of data to reach conclusions, generalizations, and estimations
based on a small sample of the population




Statistics

The gathering, organizing, and interpreting of numerical data




Moderating Variable

Variable that changes the effect of independent variable on the dependent
variable




Page | 4

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