In: Statistics and Probability
Use the probability distribution to complete parts (a) and (b) below. The number of defects per 1000 machine parts inspected Defects 0 1 2 3 4 5
Probability 0.262 0.291 0.240 0.151 0.037 0.019
(a) Find the mean, variance, and standard deviation of the probability distribution.
The mean is
nothing.
(Round to one decimal place as needed.)
The variance is
nothing.
(Round to one decimal place as needed.)
The standard deviation is
nothing.
(Round to one decimal place as needed.)
(b) Interpret the results.
The mean is
nothing,
so the average batch of 1000 machine parts has
▼
at least 2 defects.
no defects.
1 or 2 defects.
The standard deviation is
nothing,
so most of the batches of 1000
▼
differ from the mean by no more than about 1 defect.
do not differ from the mean.
differ from the mean by no more than about 2 defects.
differ from the mean by more than about 2 defects.
(Round to one decimal place as needed.)
(a)
x p xp x2p
0 0.262 0 0
1 0.291 0.291 0.291
2 0.240 0.480 0.960
3 0.151 0.453 1.359
4 0.037 0.148 0.592
5 0.019 0.095 0.475
--------------------------------------------------------------------
Total 1.467 3.677
(i) The mean is:
1.5
(ii) Variance = E(X2) - (E(X))2 = 3.677 - 1.4672 = 1.5249
So,
The variance is:
1.5
(iii) Standard deviation =
So,
The standard deviation is:
1.2
(b)
(i)
The mean is 1.5 , so the average batch of 1000 machine parts has 1 or 2 defectives.
(ii)
The standard deviation is 1.2, so most of the batches of 1000 differ from the mean by no more than about 2 defects.