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234 Part IV: Quality AssuranceContinuedSolution:First we arrange the data in ascending order and rank them from 1 to 15 (n = 15)Data values: 75, 79, 80, 85, 88, 89, 95, 96, 97, 99, 104, 105, 110, 115, 140Ranks: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15We now find the ranks of the quartiles Q 1 , Q 2 , and Q 3 . Thus, we haveTherefore the values of Q 1 , Q 2 , and Q 3 areInterquartile range isandRank of Q 1 = (25/100)(15 + 1) = 4Rank of Q 2 = (50/100)(15 + 1) = 8Rank of Q 3 = (75/100)(15 + 1) = 12.Q 1 = 85 Q 2 = 96 Q 3 = 105.IQR = Q 3 – Q 1 = 105 – 85 = 20(1.5) × IQR = (1.5) × 20 = 30.Figure 18.22 shows the box plot for the above data.Figure 18.22 shows that the data includes one outlier. In this case, action should betaken to reduce the activity that produces a noise level of 140 decibels.Smallest value withinthe inner fenceLargest value withinthe inner fencePart IV.A.4Mild outlierD C E FA D2555 75 115 135 1658596 105Figure 18.22 Box plot for the data in Example 18.24.EXAMPLE 18.25The following data give the number of persons who take the bus during the off-peakhourtime schedule from Grand Central to Lower Manhattan in New York:Continued
Chapter 18: A. Basic Statistics and Applications 235Continued12 12 14 15 16 16 16 16 17 17 18 18 18 1 9 19 20 20 20 2020 20 20 21 21 21 22 22 23 23 23 24 24 25 26 26 28 28 28a. Find the mean, mode, and median for these data.b. Prepare the box plot for the datac. Using the results of (a) and (b) determine if the data are symmetric or skewed.Examine whether the conclusions made using the two methods about the shapeof the distribution are the same or not.d. Using the box plot, check whether the data contains any outlierse. If in part (c) the conclusion is that the data are at least approximately symmetricthen find the standard deviation and determine if the empirical rule holds or not.Solution:a. The sample size in this problem is n = 40. Thus, we haveMean X – = x i /n = 800/40 = 20Mode = 20Median = 20.b. To prepare the box plot we first find the quartiles Q 1 , Q 2 , and Q 3 .Rank of Q 1 = (25/100)(40 + 1) = 10.25Rank of Q 2 = (50/100)(40 + 1) = 20.5Rank of Q 3 = (75/100)(40 + 1) = 30.75Since the data presented in this problem are already in ascending order, we caneasily see that the quartiles Q 1 , Q 2 , and Q 3 areInterquartile rangeQ 1 = 17 Q 2 = 20 Q 3 = 23IQR = Q 3 – Q 1 = 23 – 17 = 61.5(IQR) = 1.5(6) = 9The box plot for the data is as shown in Figure 18.23c. Both parts (a) and (b) lead us to the same conclusion—that the data are symmetric.d. From the box plot in Figure 18.23 we see that the data do not contain any outliers.e. In part (c) we conclude that the data are symmetric, we proceed to calculate thestandard deviation, and then determine if the empirical rule holds or not.Part IV.A.4( )40 1 12 28 12 28= + + …4021+ … +S 2 2 2 18 1 = . 538Continued
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234 Part IV: Quality Assurance
Continued
Solution:
First we arrange the data in ascending order and rank them from 1 to 15 (n = 15)
Data values: 75, 79, 80, 85, 88, 89, 95, 96, 97, 99, 104, 105, 110, 115, 140
Ranks: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
We now find the ranks of the quartiles Q 1 , Q 2 , and Q 3 . Thus, we have
Therefore the values of Q 1 , Q 2 , and Q 3 are
Interquartile range is
and
Rank of Q 1 = (25/100)(15 + 1) = 4
Rank of Q 2 = (50/100)(15 + 1) = 8
Rank of Q 3 = (75/100)(15 + 1) = 12.
Q 1 = 85 Q 2 = 96 Q 3 = 105.
IQR = Q 3 – Q 1 = 105 – 85 = 20
(1.5) × IQR = (1.5) × 20 = 30.
Figure 18.22 shows the box plot for the above data.
Figure 18.22 shows that the data includes one outlier. In this case, action should be
taken to reduce the activity that produces a noise level of 140 decibels.
Smallest value within
the inner fence
Largest value within
the inner fence
Part IV.A.4
Mild outlier
D C E F
A D
25
55 75 115 135 165
85
96 105
Figure 18.22 Box plot for the data in Example 18.24.
EXAMPLE 18.25
The following data give the number of persons who take the bus during the off-peakhour
time schedule from Grand Central to Lower Manhattan in New York:
Continued