In: Statistics and Probability
Power +, Inc. produces AA batteries used in remote-controlled toy cars. The mean life of these batteries follows the normal probability distribution with a mean of 38 hours. hours and a standard deviation of 5.9 hours. As a part of its quality assurance program, Power +, Inc. tests samples of 16 batteries. |
a. | What can you say about the shape of the distribution of the sample mean? |
Sample mean | (Click to select)NormalUniformBinomial |
b. |
What is the standard error of the distribution of the sample mean? (Round your answer to 4 decimal places.) |
Standard error |
c. |
What proportion of the samples will have a mean useful life of more than 39 hours? (Round z value to 2 decimal places and final answer to 4 decimal places.) |
Probability |
d. |
What proportion of the sample will have a mean useful life greater than 36.5 hours? (Round z value to 2 decimal places and final answer to 4 decimal places.) |
Probability |
e. |
What proportion of the sample will have a mean useful life between 36.5 and 39 hours? (Round z value to 2 decimal places and final answer to 4 decimal places.) |
Probability |
|
Solution:
Given that,
mean = = 38 hours
standard deviation = = 5 .9 hours
n = 16
a ) The distribution of The sample mean
= 38
B ) The standard error of the distribution of the sample mean
= ( /n) = (5.9 / 16 ) = 1.4750
Standard error = 1.4750
C ) P ( > 39 )
= 1 - P ( - /) < (39 - 38 / 1.4750)
= 1 -P ( z < 1 / 1.4750 )
= 1 - P ( z < 0.68 )
Using z table
= 1 - 0.7517
= 0.2483
Probability = 0.2483
D ) P ( > 36.5 )
= 1 - P ( - /) < (36.5 - 38 / 1.4750)
= 1 -P ( z < -1.5 / 1.4750 )
= 1 - P ( z < - 1.02 )
Using z table
= 1 - 0.1539
= 0.8461
Probability = 0.8461
E ) P ( 36.5 < < 39 )
P (36.5 - 38 / 1.4750) < ( - /) < (39 - 38 / 1.4750)
P (- 1.5 / 1.4750 < z < 1 / 1.4750 )
P (- 1.02 < z < 0.68 )
P ( z < 0.68 ) - P ( Z < - 1.02 )
Using z table
= 0.7517 - 0.1539
= 0.5978
Probability = 0.5978