TABLE 2-5 Time on Hold Class Limits Lower-Upper Tally Frequency 1-3 Midpoint (c) Recall that the class boundary is halfway between the upper limit of one class and the lower limit of the next. Use this fact to find the class boundaries in Table 2-7 and to complete the partial histogram in Figure 2-4. TABLE 2-6 Completion of Table 2-5 Class Limits Lower-Upper 1-3 4-6 7-9 10-12 13-15 Tally Frequency Midpoint I NNN NNNI II 1 82 of 696 Copyright 2018 Cengage Learning AB Rights Reserved. May not be copied, scanned or duplicated, in whole or in part WCN 03-200-303 be check anda (Ch Continued

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
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Please answer part e. Show work! Thanks.
50 Chapter 2 ORGANIZING DATA
Guided Exercise 1 continued
TABLE 2-7 Class Boundaries
Class Limits
15-
1-3
4-6
7-9
10-12
13-15
TABLE 2-5 Time on Hold
Class Limits
Lower-Upper Tally Frequency
1-3
FIGURE 2-4
20
10+
5
(c) Recall that the class boundary is halfway
between the upper limit of one class and the
lower limit of the next. Use this fact to find the
class boundaries in Table 2-7 and to complete
the partial histogram in Figure 2-4.
10-12
13-15
0.3
(d) Compute the relative class frequency fin for
each class in Table 2-9 and complete the partial
relative-frequency histogram in Figure 2-6.
0.2
TABLE 2-9 Relative Class Frequency
Class
1-3
4-6
7-9
0.1
Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 03-200-303
CoCo Ling All Rights Reserved. Maybe indepline, in whole or in participache preved from the clock and Ch
that any vapproved content marily affect the dig p Copa Leaning the right to al com
FIGURE 2-6
0.4+
0.5 3.5 6.5 9.5 12.5 15.5
Time on hold (minutes)
Class Boundaries
0.5-3.5
3.5-6.5
6.5
0.5 3.5 6.5 9.5 12.5 15.5
Minutes
(e) Interpretation According to the graphs, about
wwww
what percentage of the hold times are between
7 and 9 minutes. Would it be unusual for the hold
times to be less than 4 minutes or greater than 127
FIGURE 2-8
Types of Histograms
Midpoint
fin
3/40-0.075
15/40 -0.375
(c) Typical skewed histogram
Skewed left
D
LOOKING FORWARD
We will see relative-frequency distributions again
when we studynerability in Chan Th
1-3
4-6
7-9
10-12
13-15
TABLE 2-8 Completion of Table 2-7
Class Limits
15
10
TABLE 2-6 Completion of Table 2-5
Class Limits
Lower-Upper
1-3
4-6
5+
FIGURE 2-5 Completion of Figure 2-4
20
7-9
10-12
13-15
7-9
10-12
13-15
Tally Frequency Midpoint
III
>
NNN
Skewed right
NI
II
I
0.3
0.2
0.1
TABLE 2-10 Completion of Table 2-9
Class
1-3
4-6
FIGURE 2-7 Completion of Figure 2-6
0.4
Class Boundaries
0.5 3.5 6.5 9.5 12.5 15.5
Time on hold (minutes)
1
0.5-3.5
3.5-6.5
6.5-9.5
9.5-12.5
12.5-15.5
82 of 696
0.5 3.5 6.5 9.5 12.5 15.5
Minutes
Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part WCN 03-200-203
fin
0.075
0.375
0.425
0.100
0.025
About 40% of the wait times fall between 7 and 9 minutes
while about 80% are between 4 and 9 minutes. Less than 1%
are 3 minutes or less or greater than 12.
(a) Typical mound-shaped symmetrical histogram (b) Typical uniform or rectangular histogram
(d) Typical bimodal histogram
SECTION 2.1 Frequency Distributions, Histograms, and Related Topics
14
Continued
51
Distribution Shapes
Histograms are valuable and useful tools, in the raw data came from a random sample
of monulation soluas the histoamm nonstossted fo the compla voluas should have a
If
Transcribed Image Text:50 Chapter 2 ORGANIZING DATA Guided Exercise 1 continued TABLE 2-7 Class Boundaries Class Limits 15- 1-3 4-6 7-9 10-12 13-15 TABLE 2-5 Time on Hold Class Limits Lower-Upper Tally Frequency 1-3 FIGURE 2-4 20 10+ 5 (c) Recall that the class boundary is halfway between the upper limit of one class and the lower limit of the next. Use this fact to find the class boundaries in Table 2-7 and to complete the partial histogram in Figure 2-4. 10-12 13-15 0.3 (d) Compute the relative class frequency fin for each class in Table 2-9 and complete the partial relative-frequency histogram in Figure 2-6. 0.2 TABLE 2-9 Relative Class Frequency Class 1-3 4-6 7-9 0.1 Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 03-200-303 CoCo Ling All Rights Reserved. Maybe indepline, in whole or in participache preved from the clock and Ch that any vapproved content marily affect the dig p Copa Leaning the right to al com FIGURE 2-6 0.4+ 0.5 3.5 6.5 9.5 12.5 15.5 Time on hold (minutes) Class Boundaries 0.5-3.5 3.5-6.5 6.5 0.5 3.5 6.5 9.5 12.5 15.5 Minutes (e) Interpretation According to the graphs, about wwww what percentage of the hold times are between 7 and 9 minutes. Would it be unusual for the hold times to be less than 4 minutes or greater than 127 FIGURE 2-8 Types of Histograms Midpoint fin 3/40-0.075 15/40 -0.375 (c) Typical skewed histogram Skewed left D LOOKING FORWARD We will see relative-frequency distributions again when we studynerability in Chan Th 1-3 4-6 7-9 10-12 13-15 TABLE 2-8 Completion of Table 2-7 Class Limits 15 10 TABLE 2-6 Completion of Table 2-5 Class Limits Lower-Upper 1-3 4-6 5+ FIGURE 2-5 Completion of Figure 2-4 20 7-9 10-12 13-15 7-9 10-12 13-15 Tally Frequency Midpoint III > NNN Skewed right NI II I 0.3 0.2 0.1 TABLE 2-10 Completion of Table 2-9 Class 1-3 4-6 FIGURE 2-7 Completion of Figure 2-6 0.4 Class Boundaries 0.5 3.5 6.5 9.5 12.5 15.5 Time on hold (minutes) 1 0.5-3.5 3.5-6.5 6.5-9.5 9.5-12.5 12.5-15.5 82 of 696 0.5 3.5 6.5 9.5 12.5 15.5 Minutes Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part WCN 03-200-203 fin 0.075 0.375 0.425 0.100 0.025 About 40% of the wait times fall between 7 and 9 minutes while about 80% are between 4 and 9 minutes. Less than 1% are 3 minutes or less or greater than 12. (a) Typical mound-shaped symmetrical histogram (b) Typical uniform or rectangular histogram (d) Typical bimodal histogram SECTION 2.1 Frequency Distributions, Histograms, and Related Topics 14 Continued 51 Distribution Shapes Histograms are valuable and useful tools, in the raw data came from a random sample of monulation soluas the histoamm nonstossted fo the compla voluas should have a If
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