Question

In: Statistics and Probability

Use the probability distribution to complete parts​ (a) and​ (b) below. The number of defects per...

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.)

Solutions

Expert Solution

(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.


Related Solutions

Use the probability distribution to complete parts​ (a) and​ (b) below. The number of defects per...
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 0.261 0.301 0.242 0.133 0.045 0.018 ​(a) Find the​ mean, variance, and standard deviation of the probability distribution. The mean is:
A frequency distribution is shown below. Complete parts​ (a) through​ (e). The number of dogs per...
A frequency distribution is shown below. Complete parts​ (a) through​ (e). The number of dogs per household in a small town. ​(a) Use the frequency distribution to construct a probability distribution. ​(b) Find the mean of the probability distribution. ​(c) Find the variance of the probability distribution.  (d) Find the standard deviation of the probability distribution. ​(e) Using the found values of the mean and the standard​ deviation, an interpretation of the results in the context of the​ real-life situation is...
Complete parts​ (a) and​ (b) below. The number of dogs per household in a small town...
Complete parts​ (a) and​ (b) below. The number of dogs per household in a small town (a) Find the​ mean, variance, and standard deviation of the probability distribution. Find the mean of the probability distribution. u=___(Round to one decimal place if needed) Find the variance of the probability distribution. o2=___(round to one decimal place if needed) find the standard deviation of the probability distribution o=____(round to one decimal place when needed) (b) Interpret the results in the context of the​...
Complete parts​ (a) and​ (b) below. The number of dogs per household in a small town...
Complete parts​ (a) and​ (b) below. The number of dogs per household in a small town Dogs 0 1 2 3 4 5 Probability 0.649 0.220 0.087 0.024 0.013 0.008 ​ (a) Find the​ mean, variance, and standard deviation of the probability distribution.
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 7 ounces. a. The process standard deviation is 0.10, and the process control is set at plus or minus 2 standard deviation s . Units with weights less than 6.8 or greater than 7.2 ounces will be classified as defects. What is the probability of a defect (to...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 14 ounces. The process standard deviation is 0.2, and the process control is set at plus or minus 0.5 standard deviation. Units with weights less than 13.9 or greater than 14.1 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)? In...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 12 ounces. a. The process standard deviation is 0.10 ounces, and the process control is set at plus or minus 1.75 standard deviations. Units with weights less than 11.825 or greater than 12.175 ounces will be classified as defects. What is the probability of a defect (to 4...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 14 ounces. a. The process standard deviation is 0.10 ounces, and the process control is set at plus or minus 2.25 standard deviations. Units with weights less than 13.775 or greater than 14.225 ounces will be classified as defects. What is the probability of a defect (to 4...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 14 ounces. The process standard deviation is 0.1, and the process control is set at plus or minus 1.5 standard deviations. Units with weights less than 13.85 or greater than 14.15 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)? In...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of ounces. a. The process standard deviation is , and the process control is set at plus or minus standard deviation . Units with weights less than or greater than ounces will be classified as defects. What is the probability of a defect (to 4 decimals)? In a production...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT