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