Here in this scenario we have to identify whether the given sample is comes from normally distributed population.
To answer this we have to plot the normal probability plot. Normal probability plot is the plot of Standerd normal value against the observation. If we found that the 45° pattern or linear pattern then we can say that the sample is comes from normally distributed population.
To plot the normal probability plot we need following table :
The sample size is n = 19. The following table shows the sample data provided, sorted in ascending order. Also, the theoretical frequencies fi are computed as well as the associated z-scores zi, for i = 1, 2, ..., 19i=1,2,...,19:
Position (i) | X (Asc. Order) | fi | zi |
1 | 0.30 | 0.0325 | -1.846 |
2 | 0.84 | 0.0844 | -1.376 |
3 | 0.99 | 0.1364 | -1.097 |
4 | 1.23 | 0.1883 | -0.884 |
5 | 2.74 | 0.2403 | -0.705 |
6 | 3.02 | 0.2922 | -0.547 |
7 | 4.23 | 0.3442 | -0.401 |
8 | 4.71 | 0.3961 | -0.263 |
9 | 4.73 | 0.4481 | -0.131 |
10 | 6.59 | 0.5 | 0 |
11 | 7.26 | 0.5519 | 0.131 |
12 | 7.95 | 0.6039 | 0.263 |
13 | 8.16 | 0.6558 | 0.401 |
14 | 12.07 | 0.7078 | 0.547 |
15 | 31.62 | 0.7597 | 0.705 |
16 | 32.67 | 0.8117 | 0.884 |
17 | 33.86 | 0.8636 | 1.097 |
18 | 36.61 | 0.9156 | 1.376 |
19 | 73.00 | 0.9675 | 1.846 |
From the above normal probability plot we can see that the linear pattern which indicates that the sample is in approximately linear trend.
answer,
A) Breakdown times is normally distributed.
Thank you.
View Policies Current Attempt in Progress In Applied Life Data Analysis (Wiley, 1982), Wayne Nelson presents...
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