Question

In: Statistics and Probability

Lifetimes of AAA batteries are approximately normally distributed. A manufacturer wants to estimate the standard deviation...

Lifetimes of AAA batteries are approximately normally distributed. A manufacturer wants to estimate the standard deviation of the lifetime of the AAA batteries it produces. A random sample of 23 AAA batteries produced by this manufacturer lasted a mean of 10.1 hours with a standard deviation of 2.2 hours. Find a 90% confidence interval for the population standard deviation of the lifetimes of AAA batteries produced by the manufacturer. Then complete the table below. Carry your intermediate computations to at least three decimal places. Round your answers to at least two decimal places. (If necessary, consult a list of formulas.)

What is the lower limit of the 90% confidence interval?

What is the upper limit of the 90% confidence interval?

Solutions

Expert Solution

Solution :

Given that,

Point estimate = sample mean = = 10.1


Population standard deviation = = 2.2

Sample size = n =23

At 90% confidence level

= 1-0.90% =1-0.90 =0.10

/2 =0.10/ 2= 0.05

Z/2 = Z0.05 = 1.645

Z/2 = 1.645  
Margin of error = E = Z/2 * ( /n)

= 1.645 * (2.2 /  23 )

=0.7545

At 90 % confidence interval estimate of the population mean is,

- E < < + E

10.1 - 0.7545 <   < 101 + 0.7545

9.50 <   < 10.85

(9.50 ,10.85 )

The lower limit of the 90% confidence interval is = 9.50

The upper limit of the 90% confidence interval = 10.85


Related Solutions

A manufacturer of AAA batteries wants to estimate the mean life expectancy of the batteries. A...
A manufacturer of AAA batteries wants to estimate the mean life expectancy of the batteries. A sample of 25 such batteries shows that the distribution of life expectancies is roughly normal with a mean of 44.25 hours and a standard deviation of 2.25 hours. Construct a 98% confidence interval for the mean life expectancy of all the AAA batteries made by this manufacturer
Suppose that the lifetimes of TV tubes are normally distributed with a standard deviation of 1.2...
Suppose that the lifetimes of TV tubes are normally distributed with a standard deviation of 1.2 years. Suppose also that exactly 20% of the tubes die before 4.5 years. Find the mean lifetime of TV tubes. Carry your intermediate computations to at least four decimal places. Round your answer to at least one decimal place. _____yrs.
Can you please explain me this question? Thanks! A manufacturer of AAA batteries wants to estimate...
Can you please explain me this question? Thanks! A manufacturer of AAA batteries wants to estimate the mean life expectancy of the batteries. A sample of 20 such batteries shows that the distribution if life expectancies is roughly normal with a sample mean of 32.5 and a sample standard deviation of 2.75 hours. Construct a 95% confidence interval for the mean life expectancy of AAA batteries made by this manufacturer.
. A manufacturer of car batteries claims that the life of his batteries is approximately normally...
. A manufacturer of car batteries claims that the life of his batteries is approximately normally distributed with a standard deviation of more than 0.9 years. They wish to test this hypothesis using a random sample of 10 of these batteries and a level of significance of 0.05. (a) State the null and alternative hypothesis, the test statistic, and the critical region. (b) Suppose the sample standard deviation is 1.2 years. State and interpret the conclusion of the test. (c)...
Suppose that the lifetimes of light bulbs are approximately normally distributed, with a mean of 57...
Suppose that the lifetimes of light bulbs are approximately normally distributed, with a mean of 57 hours and a standard deviation of 3.5 hours. With this information, answer the following questions. (a) What proportion of light bulbs will last more than 60 hours? (b) What proportion of light bulbs will last 50 hours or less? (c) What proportion of light bulbs will last between 58 and 61 hours? (d) What is the probability that a randomly selected light bulb lasts less than 46 hours? (a)...
Suppose that the lifetimes of light bulbs are approximately normally​ distributed, with a mean of 56...
Suppose that the lifetimes of light bulbs are approximately normally​ distributed, with a mean of 56 hours and a standard deviation of 3.3 hours. With this​ information, answer the following questions. (a) What proportion of light bulbs will last more than 61​hours? ​(b) What proportion of light bulbs will last 51 hours or​ less? ​(c) What proportion of light bulbs will last between 57 and 62 hours? ​(d) What is the probability that a randomly selected light bulb lasts less...
Suppose that the lifetimes of light bulbs are approximately normally​ distributed, with a mean of 57...
Suppose that the lifetimes of light bulbs are approximately normally​ distributed, with a mean of 57 hours and a standard deviation of 3.5 hours. With this​ information, answer the following questions. ​(a) What proportion of light bulbs will last more than 60 ​hours? ​(b) What proportion of light bulbs will last 50 hours or​ less? ​(c) What proportion of light bulbs will last between 57 and 61 ​hours? ​(d) What is the probability that a randomly selected light bulb lasts...
Suppose that the lifetimes of light bulbs are approximately normally​ distributed, with a mean of 57...
Suppose that the lifetimes of light bulbs are approximately normally​ distributed, with a mean of 57 hours and a standard deviation of 3.5 hours. With this​ information, answer the following questions. ​(a) What proportion of light bulbs will last more than 62 ​hours? ​(b) What proportion of light bulbs will last 52 hours or​ less? ​(c) What proportion of light bulbs will last between 57 and 61 ​hours? ​(d) What is the probability that a randomly selected light bulb lasts...
Suppose that the lifetimes of light bulbs are approximately normally​ distributed, with a mean of 57...
Suppose that the lifetimes of light bulbs are approximately normally​ distributed, with a mean of 57 hours and a standard deviation of 3.5 hours. With this​ information, answer the following questions. ​(a) What proportion of light bulbs will last more than 61 ​hours? ​(b) What proportion of light bulbs will last 52 hours or​ less? ​(c) What proportion of light bulbs will last between 57 and 62 ​hours? ​(d) What is the probability that a randomly selected light bulb lasts...
Suppose that the lifetimes of light bulbs are approximately normally​ distributed, with a mean of 57...
Suppose that the lifetimes of light bulbs are approximately normally​ distributed, with a mean of 57 hours and a standard deviation of 3.5 hours. With this​ information, answer the following questions. ​(a) What proportion of light bulbs will last more than 61 ​hours? ​(b) What proportion of light bulbs will last 51 hours or​ less? ​(c) What proportion of light bulbs will last between 57 and 61 ​hours? ​(d) What is the probability that a randomly selected light bulb lasts...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT