Q. 3.175

Question

In the below exercise:

a. obtain and interpret the quartiles.

b. determine and interpret the interquartile range.

c. find and interpret the five-number summary.

d. identify potential outliers, if any:

e. construct and interpret a boxplot.

Pizza Diameters. In the article, "Assessing Claims Made by a Pizza Chain" by P. Dunn, (Journal of Statistics Education, Vol, 20, No. 1. pp. 1-19), a sample of pizzas from Domino's was collected. The intention of the study was to test the claim of a local pizza shop that its pizzas are bigger than Domino's. The following table gives the diameters, in centimeters (cm), of 41 large Supreme pizzas from Domino's.

Step-by-Step Solution

Verified
Answer

a) The quartiles are 26.685, 27.12, 28.87. The bottom 25%of the observations is less than or equal to the quartiles.

b) The interquartile range is 2.185. The diameter of 50% of pizzas ranged over 2.185 cm.

c) All observations are greater than or equal to the minimum. 

d) There are no potential outliers.

e) The boxplot is 


1Step 1/5

a) Obtain the first quartile, second quartile (median) and third quartile by using MINITAB

MINITAB procedure:

Step 1: Choose Stat > Basic Statistics > Display Descriptive Statistics.

Step 2: In Variables enter the columns Diameter.

Step 3: Choose option statistics, and select First quartile, median, second quartile, minimum, and maximum.

Step 4: Click OK.

MINITAB output:

Descriptive Statistics: DIAMETER

 Variable  N N* Minimum Q1 Median  Q3  Maximum  IQR  DIAMETER 41026.09026.68527.12028.87029.4002.185

 From the MINITAB output, the first quartile is 26.685, the second quartile is 27.12and the third quartile is 28.87.

From the results, it is clear that the bottom 25%of the observations is less than or equal to the quartiles.

2Step 2/5

b) Obtain the interquartile range.

IQR=Q3Q1=28.8726.685=2.185

The middle half of the diameter ranged over 2.185 cm.

3Step 3/5

c) Find the five-number summary.

 Minimum  First quartile Q1 Median  Third quartile Q3 Maximum 26.0926.68527.1228.8729.4

From the result, it is clear that all observations are greater than or equal to the minimum.

4Step 4/5

d) Identify the potential outliers.

Lower limit =Q1-(1.5×1QR)

Upper limit =Q3+(1.5×QQR)

The lower limit is obtained below.

 Lower limit =26.685(1.5×2.185)=26.6853.2775=23.4075

The upper limit is

 Upper limit =28.87+(1.5×2.185)=28.87+3.2775=32.1475

All observations are within the limit. So there are no potential outliers.

5Step 5/5

e) Using MINITAB boxplot is drawn.

The data is skewed to the right because the distance between the median and minimum value is less than the distance between the median and maximum value.