Q1. The accompanying data set consists of observations on shower-flow rate (L/min) for a sample of houses in Perth, Australia (“An Application of Bayes Methodology to the Analysis of Diary Records in a Water Use Study," J. Amer. Stat. Assoc., 1987: 705–711): 46 123 7.1 10 40 92 67 69 I1S S1 112 105 143 8O 64 SI 56 96 75 15 62 Ss 23 34 04 98 66 37 64 83 65 76 93 92 73 so 63 138 62 84 13 103 119 60 56 95 93 104 37 SI 67 102 62 A 70 u 56 105 LG 108 155 7S 64 34 5S 64 59 150 96 78 70 69 1 36 119 37 57 68 113 93 96 10.4 93 69 s8 RI 106 4S 62 83 32 49 se s0 2 63 34 60 a. Construct a stem-and-leaf display of the data.
Q1. The accompanying data set consists of observations on shower-flow rate (L/min) for a sample of houses in Perth, Australia (“An Application of Bayes Methodology to the Analysis of Diary Records in a Water Use Study," J. Amer. Stat. Assoc., 1987: 705–711): 46 123 7.1 10 40 92 67 69 I1S S1 112 105 143 8O 64 SI 56 96 75 15 62 Ss 23 34 04 98 66 37 64 83 65 76 93 92 73 so 63 138 62 84 13 103 119 60 56 95 93 104 37 SI 67 102 62 A 70 u 56 105 LG 108 155 7S 64 34 5S 64 59 150 96 78 70 69 1 36 119 37 57 68 113 93 96 10.4 93 69 s8 RI 106 4S 62 83 32 49 se s0 2 63 34 60 a. Construct a stem-and-leaf display of the data.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Q1. The accompanying data set consists of observations on shower-flow rate (L/min) for a sample of houses in Perth, Australia (“An
Application of Bayes Methodology to the Analysis of Diary Records in a Water Use Study," J. Amer. Stat. Assoc., 1987: 705–711):
4.6 12.3
7.1 7.0
4.0
9.2 6.7
6.9 11.5
5.1
14.3 8.0 8.8
6.2
5.8 2.3 3.4 10.4 9.8 6.6 3.7 6.4
11.2 10,5
6.4 5.1 5.6 9.6 7.5
7.5
8.3
6.5 7.6 9.3 9.2 7.3 5.0 6.3 13.8 6.2
5.4
4.8
7.5 6.0 6.9 10.8 7.5 6.6 5.0 3.3
11.9 2.2 15.0
5.5 4.3 9.0 12.7 11.3 7.4 5.0 3.5 8.2
7.3
7.6
3.9
7.2 6.1 15.3 18.9 7.2
5.4
8.4
5.1
10.8 15.5
5.6 9.5 9.3 10.4 9.7
7.0 4.8 5.6 10.5 14.6
55 66
10.3 11.9 6.0
10.2 6.2
6.7
8.4
7.5 6.4
3.4
5.9
15.0
9.6
5.7
9.8 9.1 10.6 4.5 6.2
3.8 6.0
7.8
7.0
6.9 4.1
10.4
9.3
4.9 5.0
3.6
11.9 3.7
6.8 11.3
9.3
9.6
69
8.3
3.2
6.0
8.2 6.3
a. Construct a stem-and-leaf display of the data.
b. What is a typical, or representative, flow rate?
c. Does the display appear to be highly concentrated or spread out?
d. Does the distribution of values appear to be reasonably symmetric? If not, how would you describe the departure from symmetry?
e. Would you describe any observation as being far from the rest of the data (an outlier)?
Q2. A particular type of tennis racket comes in a midsize version and an oversize version. Sixty percent of all customers at a certain store
want the oversize version.
a. Among ten randomly selected customers who want this type of racket, what is the probability that at least six want the oversize version?
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