Skip to content

Graded Quiz: Descriptive Statistics: Statistics Foundations (Meta Marketing Analytics Professional Certificate) Answers 2025

Question 1

What is the formula used to find the z-score for a data value?

  • ❌ z = value + mean/std.deviation

  • ❌ z = value – mean.

  • z = (value – mean)/std.deviation

  • ❌ z = (mean – std deviation)/value


Question 2

What is the formula for finding the standard deviation in a spreadsheet?
(Assume that the data is in cells A1 to A100.)

  • ❌ =(DEV A1:A100)

  • ❌ =STD(A1:A100)

  • ❌ =STANDARDDEVIATION(A1:A100)

  • =STDEV(A1:A100)


Question 3

What is the range for the given dataset?
23, 20, 31, 11, 15, 19

  • ❌ 20

  • ❌ 23

  • 20

  • ❌ -20


Question 4

What is the mode for the following set of numbers?
26, 11, 45, 0, 7, 7, 0

  • The modes are 7 and 0.

  • ❌ The mode is 0.

  • ❌ The mode is 45.

  • ❌ The mode is 7.


Question 5

In a normal distribution, what percentage of data values are found between the mean and one standard deviation below the mean?

  • 34%

  • ❌ 68%

  • ❌ 13.6%

  • ❌ 50%


Question 6

What is the median for the given dataset?
1, -2, 3, -1, 2, -3

  • The median is 0.

  • ❌ The median is 1.

  • ❌ The median is -3.

  • ❌ The median is 3.


Question 7

True or false: The median is sensitive to outliers.

  • False

  • ❌ True


Question 8

What is the mean of the given set of numbers?
4, 7, 3, 1, 2, 1

  • ❌ The mean is 1.

  • ❌ The mean is 2.5.

  • ❌ The mean is 0.

  • The mean is 3.


Question 9

How can a marketer use a measure of variation?

  • ❌ III

  • ❌ II

  • IV (All of these)

  • ❌ I


Question 10

How might measures of central tendency be useful to a marketer?

  • I, II, and III

  • ❌ III

  • ❌ I

  • ❌ II


🧾 Summary Table

Q# ✅ Correct Answer Key Concept
1 (value – mean)/std.deviation Z-score formula
2 =STDEV(A1:A100) Spreadsheet std. dev. function
3 20 Range = max – min
4 0 and 7 Bimodal data
5 34% One σ below mean
6 0 Median calculation
7 False Median not affected by outliers
8 3 Mean formula
9 All of these Variation helps analysis
10 I, II, and III Uses of central tendency