Use the probability distribution to complete parts (a) and (b) below. The number of defects per 1000 machine parts inspected Defects 1 2 4 5 Probability 0.264 0.289 0.238 0.156 0.037 0.016 The variance is 1.5. at least 2 defects. (Round to one decimal place as needed.) The standard deviation is 1.2. 1 or 2 defects. (Round to one decimal place as needed.) no defects. (b) Interpret the results. The mean is 1.5, so the average batch of 1000 machine parts has at least 2 defects. The standard deviation is 1.2, so the typical number of defects in a batch of 1000 does not deviate from the mean. (Round to one decimal place as needed.)

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Please also find the variance, standard deviation.

Use the probability distribution to complete parts (a) and (b) below.
The number of defects per 1000 machine parts inspected
Defects
1
2
4
5
Probability 0.264
0.289
0.238
0.156
0.037
0.016
The variance is 1.5.
at least 2 defects.
(Round to one decimal place as needed.)
The standard deviation is 1.2.
1 or 2 defects.
(Round to one decimal place as needed.)
no defects.
(b) Interpret the results.
The mean is 1.5, so the average batch of 1000 machine parts has at least 2 defects. The standard deviation is 1.2, so the typical
number of defects in a batch of 1000 does not deviate from the mean.
(Round to one decimal place as needed.)
Transcribed Image Text:Use the probability distribution to complete parts (a) and (b) below. The number of defects per 1000 machine parts inspected Defects 1 2 4 5 Probability 0.264 0.289 0.238 0.156 0.037 0.016 The variance is 1.5. at least 2 defects. (Round to one decimal place as needed.) The standard deviation is 1.2. 1 or 2 defects. (Round to one decimal place as needed.) no defects. (b) Interpret the results. The mean is 1.5, so the average batch of 1000 machine parts has at least 2 defects. The standard deviation is 1.2, so the typical number of defects in a batch of 1000 does not deviate from the mean. (Round to one decimal place as needed.)
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