Question

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 0.265 0.294 0.243 0.140 0.046 0.012 (a) Find the mean, variance, and standard deviation of the probability distribution. The mean is ?. (Round to one decimal place as needed.)

Answer #1

Given probability distribution,

a )

**Mean = 1.444 1.4 ( Rounded
to one decimal place )**

Let's find variance ,

**Variance = 1.476864
1.5**

Standard Deviation :

Complete parts (a) and (b) below. The number of dogs per
household in a small town Dogs 0 1 2 3 4 5 Probability 0.645 0.223
0.086 0.024 0.013 0.009 (a) Find the mean, variance, and standard
deviation of the probability distribution. Find the mean of the
probability distribution. muequals nothing (Round to one decimal
place as needed.) Find the variance of the probability
distribution. sigma squaredequals nothing (Round to one decimal
place as needed.) Find the standard deviation of...

Complete parts (a) and (b) below.
The number of dogs per household in a small town
Dogs
0
1
2
3
4
5
+
Probability
0.661
0.213
0.083
0.021
0.015
0.008
(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 as needed.)
Find the variance of the probability distribution.
σ2=_ (Round to one decimal place as needed.)
Find the standard deviation of the probability...

Complete parts (a) and (b) below.
The number of dogs per household in a small town
Dogs
0
1
2
3
4
5
Probability
0.6740.674
0.2000.200
0.0830.083
0.0230.023
0.0130.013
0.0070.007
(a) Find the mean, variance, and standard deviation of the
probability distribution.
Find the mean of the probability distribution.
muμequals=nothing
(Round to one decimal place as needed.)
Find the variance of the probability distribution.
sigma squaredσ2equals=nothing
(Round to one decimal place as needed.)
Find the standard deviation of the probability...

Use the probability distribution to complete parts (a) and (b)
below.
The number of school-related extracurricular activities per
student
Activities 0 1 2 3 4 5 6 7
Probability 0.061 0.121 0.162 0.176 0.213 0.128 0.084 0.055
FIND MEAN, VARIANCE, AND STANDARD DEVIATION

Complete parts (a) and (b) using the probability distribution
below. The number of overtime hours worked in one week per employee
Overtime hours 0 1 2 3 4 5 6 Probability 0.031 0.057 0.160 0.299
0.222 0.144 0.087 (a) Find the mean, variance, and standard
deviation of the probability distribution. Find the mean of the
probability distribution. Find the mean of the probability
distribution. mu equals =

complete parts (a) and (b) below. the number of dogs per household
in a small town. 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 expected in a production process. Assume a
production process produces items with a mean weight of 7
ounces.
a.
The process standard deviation is 0.15, and the process control is
set at plus or minus 1.6 standard deviation s. Units with weights
less than 6.76 or greater than 7.24 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 expected in a
production process. Assume a production process produces items with
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a. The process standard deviation is 0.20
ounces, and the process control is set at plus or minus 0.75
standard deviations. Units with weights less than 5.85 or greater
than 6.15 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 expected in a
production process. Assume a production process produces items with
a mean weight of 10 ounces.
The process standard deviation is 0.1, and the process control
is set at plus or minus 2 standard deviations. Units with weights
less than 9.8 or greater than 10.2 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 expected in a
production process. Assume a production process produces items with
a mean weight of 14 ounces. Use Table 1 in Appendix B. The process
standard deviation is 0.15, and the process control is set at plus
or minus 1 standard deviation. Units with weights less than 13.85
or greater than 14.15 ounces will be classified as defects. What is
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