STUDYVAULTACADEMICS 1
C207 Data-Driven Decision-Making Quiz
Question 1 of 21
Which measure of central tendency is defined as the average of all values in a
dataset?
A. The median is the value that occurs most frequently in a dataset.
B. The mode is the midpoint of a sorted distribution.
C. The interquartile range is the average of the observed values.
D. The mean is calculated by adding all values and dividing by the number of
values. ✓ Correct
Explanation: The mean is the arithmetic average: the sum of all observations divided
by the number of observations.
Question 2 of 21
What does the interquartile range measure?
A. The difference between the maximum and minimum values.
B. The difference between the third quartile and the first quartile. ✓ Correct
C. The percentage of observations within one standard deviation.
D. The distance between the mean and the median.
Explanation: The interquartile range is IQR = Q3 - Q1 and represents the spread of the
middle 50% of observations.
, STUDYVAULTACADEMICS 2
Question 3 of 21
Using the 1.5 x IQR rule, when is an observation typically classified as an outlier?
A. When it is more than one standard deviation from the median only.
B. When it falls between the first and third quartiles.
C. When it is below Q1 - 1.5(IQR) or above Q3 + 1.5(IQR). ✓ Correct
D. When it is exactly equal to the mean of the dataset.
Explanation: The 1.5 x IQR rule identifies unusually low or high values outside the
lower and upper fences.
Question 4 of 21
Which level of measurement classifies observations into categories without
implying order?
A. Interval measurement provides a true zero and supports meaningful ratios.
B. Nominal measurement classifies observations into names or categories
without ranking them. ✓ Correct
C. Ordinal measurement places observations in a meaningful order with equal intervals.
D. Ratio measurement consists only of labels that cannot be counted.
Explanation: Nominal data are labels or categories, such as eye color or vehicle type,
without an inherent ranking.
Question 5 of 21
Which example is most appropriately treated as ordinal data?
A. The color category assigned to each product.
C207 Data-Driven Decision-Making Quiz
Question 1 of 21
Which measure of central tendency is defined as the average of all values in a
dataset?
A. The median is the value that occurs most frequently in a dataset.
B. The mode is the midpoint of a sorted distribution.
C. The interquartile range is the average of the observed values.
D. The mean is calculated by adding all values and dividing by the number of
values. ✓ Correct
Explanation: The mean is the arithmetic average: the sum of all observations divided
by the number of observations.
Question 2 of 21
What does the interquartile range measure?
A. The difference between the maximum and minimum values.
B. The difference between the third quartile and the first quartile. ✓ Correct
C. The percentage of observations within one standard deviation.
D. The distance between the mean and the median.
Explanation: The interquartile range is IQR = Q3 - Q1 and represents the spread of the
middle 50% of observations.
, STUDYVAULTACADEMICS 2
Question 3 of 21
Using the 1.5 x IQR rule, when is an observation typically classified as an outlier?
A. When it is more than one standard deviation from the median only.
B. When it falls between the first and third quartiles.
C. When it is below Q1 - 1.5(IQR) or above Q3 + 1.5(IQR). ✓ Correct
D. When it is exactly equal to the mean of the dataset.
Explanation: The 1.5 x IQR rule identifies unusually low or high values outside the
lower and upper fences.
Question 4 of 21
Which level of measurement classifies observations into categories without
implying order?
A. Interval measurement provides a true zero and supports meaningful ratios.
B. Nominal measurement classifies observations into names or categories
without ranking them. ✓ Correct
C. Ordinal measurement places observations in a meaningful order with equal intervals.
D. Ratio measurement consists only of labels that cannot be counted.
Explanation: Nominal data are labels or categories, such as eye color or vehicle type,
without an inherent ranking.
Question 5 of 21
Which example is most appropriately treated as ordinal data?
A. The color category assigned to each product.
