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A company manufactures strips of metal that are supposed to have width of 10 centimeters. For purposes of quality control, the manager plans to run
A company manufactures strips of metal that are supposed to have width of 10 centimeters. For purposes of quality control, the manager plans to run some statistical tests on these strips. However, realizing that these statistical procedures assume normally distributed widths, he first tests this normality assumption on 90 randomly sampled strips. In Excel, how should he proceed?
Objective:
In Excel, use the chi-square goodness-of-fit test to see whether a normal distribution of the metal strip widths is reasonable.
Part | Width |
1 | 9.990 |
2 | 10.031 |
3 | 9.985 |
4 | 9.983 |
5 | 10.004 |
6 | 10.000 |
7 | 9.992 |
8 | 9.996 |
9 | 9.997 |
10 | 9.993 |
11 | 9.991 |
12 | 9.991 |
13 | 10.006 |
14 | 9.998 |
15 | 9.995 |
16 | 9.989 |
17 | 9.987 |
18 | 9.997 |
19 | 9.970 |
20 | 10.000 |
21 | 10.000 |
22 | 10.005 |
23 | 9.994 |
24 | 9.998 |
25 | 10.011 |
26 | 9.993 |
27 | 10.004 |
28 | 10.012 |
29 | 9.995 |
30 | 10.015 |
31 | 9.991 |
32 | 10.004 |
33 | 9.994 |
34 | 10.007 |
35 | 9.988 |
36 | 10.000 |
37 | 9.983 |
38 | 10.014 |
39 | 9.992 |
40 | 9.998 |
41 | 10.009 |
42 | 10.016 |
43 | 10.011 |
44 | 9.993 |
45 | 9.988 |
46 | 9.996 |
47 | 10.011 |
48 | 9.990 |
49 | 10.008 |
50 | 9.981 |
51 | 10.002 |
52 | 10.007 |
53 | 9.995 |
54 | 10.004 |
55 | 9.993 |
56 | 10.003 |
57 | 9.988 |
58 | 10.006 |
59 | 9.996 |
60 | 10.005 |
61 | 9.994 |
62 | 10.011 |
63 | 10.002 |
64 | 9.993 |
65 | 10.004 |
66 | 9.994 |
67 | 10.000 |
68 | 10.002 |
69 | 9.998 |
70 | 9.988 |
71 | 9.998 |
72 | 10.014 |
73 | 9.998 |
74 | 10.021 |
75 | 10.003 |
76 | 10.006 |
77 | 10.006 |
78 | 10.001 |
79 | 10.010 |
80 | 9.993 |
81 | 9.999 |
82 | 9.994 |
83 | 10.007 |
84 | 10.008 |
85 | 10.007 |
86 | 9.977 |
87 | 10.004 |
88 | 10.007 |
89 | 10.003 |
90 | 9.996 |
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