Bundle: Probability and Statistics for Engineering and the Sciences, 9th + WebAssign Printed Access Card for Devore's Probability and Statistics for ... and the Sciences, 9th Edition, Single-Term
9th Edition
ISBN: 9781305779372
Author: Jay L. Devore
Publisher: Cengage Learning
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Textbook Question
Chapter 9.3, Problem 46E
Example 7.11 gave data on the modulus of elasticity obtained 1 minute after loading in a certain configuration. The cited article also gave the values of modulus of elasticity obtained 4 weeks after loading for the same lumber specimens. The data is presented here.
| Observation | 1 min | 4 weeks | Dift'erence |
| 1 | 10.490 | 9,110 | 1380 |
| 2 | 16,620 | 13,250 | 3370 |
| 3 | 17,300 | 14.720 | 2580 |
| 4 | 15.480 | 12.740 | 2740 |
| 5 | 12,970 | 10,120 | 2850 |
| 6 | 17,260 | 14.570 | 2690 |
| 7 | 13,400 | 11,220 | 2180 |
| 8 | 13,900 | 11.100 | 2800 |
| 9 | 13,630 | 11,420 | 2210 |
| 10 | 13,260 | 10,910 | 2350 |
| 11 | 14,370 | 12,110 | 2260 |
| 12 | 11,700 | 8,620 | 3080 |
| 13 | 15.470 | 12,590 | 2880 |
| 14 | 17.840 | 15.090 | 2750 |
| 15 | 14.070 | 10,550 | 3520 |
| 16 | 14.760 | 12,230 | 2530 |
Calculate and interpret an upper confidence bound for the true average difference between 1-minute modulus and 4-week modulus; first check the plausibility of any necessary assumptions
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WHAT IS THE SOLUTION?
The following ordered data list shows the data speeds for cell phones used by a
telephone company at an airport:
A. Calculate the Measures of Central Tendency from the ungrouped data list.
B. Group the data in an appropriate frequency table.
C. Calculate the Measures of Central Tendency using the table in point B.
0.8
1.4
1.8
1.9
3.2
3.6
4.5
4.5
4.6
6.2
6.5
7.7
7.9
9.9
10.2
10.3
10.9
11.1
11.1
11.6
11.8
12.0
13.1
13.5
13.7
14.1
14.2
14.7
15.0
15.1
15.5
15.8
16.0
17.5
18.2
20.2
21.1
21.5
22.2
22.4
23.1
24.5
25.7
28.5
34.6
38.5
43.0
55.6
71.3
77.8
II Consider the following data matrix X:
X1
X2
0.5
0.4
0.2 0.5
0.5
0.5
10.3 10
10.1 10.4
10.1
10.5
What will the resulting clusters be when using the k-Means method with k = 2. In your own words, explain why this result is
indeed expected, i.e. why this clustering minimises the ESS map.
Chapter 9 Solutions
Bundle: Probability and Statistics for Engineering and the Sciences, 9th + WebAssign Printed Access Card for Devore's Probability and Statistics for ... and the Sciences, 9th Edition, Single-Term
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