Calculate quartiles, percentiles, and coefficient of skewness for a dataset of daily sales revenue.
Published on March 16, 2025
The solution calculates quartiles, deciles, percentiles, and the coefficient of skewness for a dataset of 21 values. It demonstrates the relationships between these measures and concludes that the distribution is slightly negatively skewed.
Question
Answer
12.47, 15.93, 24.78, 25.37, 31.76, 37.62, 39.28, 47.58, 49.05, 53.89, 56.72, 58.34, 62.94, 66.81, 68.29, 71.05, 72.15, 79.23, 83.47, 84.61, 90.56
Number of data points,
-
First Quartile (Q1): Position =
.
Q1 is the average of the 5th and 6th values.
Q1 = -
Second Quartile (Q2): Position =
.
Q2 is the 11th value.
Q2 = -
Third Quartile (Q3): Position =
.
Q3 is the average of the 16th and 17th values.
Q3 =
-
First Decile (D1): Position =
.
D1 is the value at position 2 + 0.2 * (value at position 3 - value at position 2).
D1 = -
Fifth Decile (D5): Position =
.
D5 is the 11th value.
D5 = -
Ninth Decile (D9): Position =
.
D9 is the value at position 19 + 0.8 * (value at position 20 - value at position 19).
D9 =
-
25th Percentile (P25): Position =
.
P25 is the average of the 5th and 6th values.
P25 = -
50th Percentile (P50): Position =
.
P50 is the 11th value.
P50 = -
75th Percentile (P75): Position =
.
P75 is the average of the 16th and 17th values.
P75 =
- Median (Me): For a sorted dataset with
(odd), the median is the value, which is . - Fifth Decile (D5): D5 =
(calculated in part a). - 50th Percentile (P50): P50 =
(calculated in part b). - Second Quartile (Q2): Q2 =
(calculated in part a).
Since the coefficient of skewness is approximately