WGU C723 Quantitative Analysis for Business Test Questions with
Answers Graded A
1. Quantitative Analysis: Analysis using objective data
2. Qualitative Analysis: Analysis using subjective Data
3. Response Variable: Another name for the dependent variable
4. Explanatory Variable: Another name for the dependent variable
5. Negative Correclation: Correlation that occurs when one variable increases and
the other variable decreases
6. Positive Correlation: Correlation that occurs when one variable and the other
7. Nonnumeric Data: Data of a form such as words, symbols, or letters that are not
used in calculations
8. Numerical Data: Data represented by numbers
9. Trendline: Line that shows the general direction of the relationship of points over
time
10. Objective Data: Measurable data often obtained through observations or testing
11. 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
12. Metric: Measurement used to gauge performance
13. Forecasting: Method or process used to make short range decisions where the
actual outcomes have not yet occurred
14. Subjective Data: Non-measurable data often obtained through surveys or inter-
views
15. Descriptive Statistics: The analysis of data, to describe, interpret, and summa-
rize data in a meaningful way
16. Inferential Statistics: The analysis of data to reach conclusions, generaliza-
tions, and estimations based on a small sample of the population
17. Statistics: The gathering, organizing, and interpreting of numerical data
18. Moderating Variable: Variable that changes the effect of independent variable
on the dependent variable
19. Dependent Variable: Variable that is being measured or affected
20. Independent Variable: Variable that is free to change in a given model
21. Quantitative Analysis: models: -Decision Tree
-Network Diagram
-ANOVA
-Linear regression
-Linear Programming
-Break-even Analysis
1/9
,WGU C723 Quantitative Analysis for Business Test Questions with
Answers Graded A
-Simulation
-and more
22. Qualitative Analysis: Models: - Surveys
-Brainstorming Session
-Raking (favorites)
-Subjective Judgment
-and more
23. PEMDAS: Parentheses, Exponents, Multiplication, Division, Addition, Subtrac-
tion
* Please excuse my dear aunt sally
24. Y hat: predictive value
25. Expressions: consist of numbers, variables and operations
* do not have <,>,=
26. Equations and Inequalities: do have <.>=
27. Linear Equation: Type of equation when the slope between any two points is
constant
28. Coefficients are the numbers in front of a variable, while constants stand
alone.:
29. Mean: Average
- add all numbers , divide by total of numbers added ie 2+2+2+2=8 8/4=2
30. Median: Middle
-arrange numbers smallest to largest, which number is in the middle, if even add the
two numbers and divide by 2
31. Mode: Most
-which number occurs most often
32. Standard Deviation Steps: 1. Calculate the mean of the data set
2. Calculate each variable (x) minus the mean. (x-x ) (ie.subtract the mean from ea
value of the data set)
3. Square each value left over (square numbers from step 2)
4. Add them all together (add all the squares from step 3)
5. Divide by n-1 (for a sample; if it's population, just divide by n)
6. Take the square root
33. Bar Graphs: -Used for qualitative data
(qualities)
-graph showing the frequency of occurrence in each category for qualitative data
34. Histograms: -used by quantitative data
(numbers)
-graph showing the frequency of occurrence in each category for quantitative data
2/9
Answers Graded A
1. Quantitative Analysis: Analysis using objective data
2. Qualitative Analysis: Analysis using subjective Data
3. Response Variable: Another name for the dependent variable
4. Explanatory Variable: Another name for the dependent variable
5. Negative Correclation: Correlation that occurs when one variable increases and
the other variable decreases
6. Positive Correlation: Correlation that occurs when one variable and the other
7. Nonnumeric Data: Data of a form such as words, symbols, or letters that are not
used in calculations
8. Numerical Data: Data represented by numbers
9. Trendline: Line that shows the general direction of the relationship of points over
time
10. Objective Data: Measurable data often obtained through observations or testing
11. 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
12. Metric: Measurement used to gauge performance
13. Forecasting: Method or process used to make short range decisions where the
actual outcomes have not yet occurred
14. Subjective Data: Non-measurable data often obtained through surveys or inter-
views
15. Descriptive Statistics: The analysis of data, to describe, interpret, and summa-
rize data in a meaningful way
16. Inferential Statistics: The analysis of data to reach conclusions, generaliza-
tions, and estimations based on a small sample of the population
17. Statistics: The gathering, organizing, and interpreting of numerical data
18. Moderating Variable: Variable that changes the effect of independent variable
on the dependent variable
19. Dependent Variable: Variable that is being measured or affected
20. Independent Variable: Variable that is free to change in a given model
21. Quantitative Analysis: models: -Decision Tree
-Network Diagram
-ANOVA
-Linear regression
-Linear Programming
-Break-even Analysis
1/9
,WGU C723 Quantitative Analysis for Business Test Questions with
Answers Graded A
-Simulation
-and more
22. Qualitative Analysis: Models: - Surveys
-Brainstorming Session
-Raking (favorites)
-Subjective Judgment
-and more
23. PEMDAS: Parentheses, Exponents, Multiplication, Division, Addition, Subtrac-
tion
* Please excuse my dear aunt sally
24. Y hat: predictive value
25. Expressions: consist of numbers, variables and operations
* do not have <,>,=
26. Equations and Inequalities: do have <.>=
27. Linear Equation: Type of equation when the slope between any two points is
constant
28. Coefficients are the numbers in front of a variable, while constants stand
alone.:
29. Mean: Average
- add all numbers , divide by total of numbers added ie 2+2+2+2=8 8/4=2
30. Median: Middle
-arrange numbers smallest to largest, which number is in the middle, if even add the
two numbers and divide by 2
31. Mode: Most
-which number occurs most often
32. Standard Deviation Steps: 1. Calculate the mean of the data set
2. Calculate each variable (x) minus the mean. (x-x ) (ie.subtract the mean from ea
value of the data set)
3. Square each value left over (square numbers from step 2)
4. Add them all together (add all the squares from step 3)
5. Divide by n-1 (for a sample; if it's population, just divide by n)
6. Take the square root
33. Bar Graphs: -Used for qualitative data
(qualities)
-graph showing the frequency of occurrence in each category for qualitative data
34. Histograms: -used by quantitative data
(numbers)
-graph showing the frequency of occurrence in each category for quantitative data
2/9
