Question

12 dollars. Question 1. How large a sample should she take to estimate the mean amount...


12 dollars.

Question 1. How large a sample should she take to estimate the mean amount spent to within 2 dollars with 99% confidence? (Round your answer up to the next largest integer).

Homework Answers

Answer #1

Solution :

Given that,

standard deviation = =$12

Margin of error = E = $2

At 99% confidence level the z is,

= 1 - 99%

= 1 - 0.99 = 0.01

/2 = 0.005

Z/2 = 2.58 ( Using z table ( see the 0.005 value in standard normal (z) table corresponding z value is 2.58 )  

sample size = n = [Z/2* / E] 2

n = ( 2.58* 12 / 2 )2

n =239.63

Sample size = n =240

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A marketing specialist wants to estimate the average amount spent by visitors to an online retailer's...
A marketing specialist wants to estimate the average amount spent by visitors to an online retailer's newly-designed website. From the data in a preliminary study she guesses that the standard deviation of the amount spent is about 12 dollars. Question 1. How large a sample should she take to estimate the mean amount spent to within 2 dollars with 99% confidence? (Round your answer up to the next largest integer).
A marketing specialist wants to estimate the average amount spent by visitors to an online retailer's...
A marketing specialist wants to estimate the average amount spent by visitors to an online retailer's newly-designed website. From the data in a preliminary study she guesses that the standard deviation of the amount spent is about 12 dollars. Question 1. How large a sample should she take to estimate the mean amount spent to within 5 dollars with 95% confidence? (Round your answer up to the next largest integer).
A marketing specialist wants to estimate the average amount spent by visitors to an online retailer's...
A marketing specialist wants to estimate the average amount spent by visitors to an online retailer's newly-designed website. From the data in a preliminary study she guesses that the standard deviation of the amount spent is about 12 dollars. Question 1. How large a sample should she take to estimate the mean amount spent to within 3 dollars with 90% confidence? (Round your answer up to the next largest integer).
A marketing specialist wants to estimate the average amount spent by visitors to an online retailer's...
A marketing specialist wants to estimate the average amount spent by visitors to an online retailer's newly-designed website. From the data in a preliminary study she guesses that the standard deviation of the amount spent is about 12 dollars. Question 1. How large a sample should she take to estimate the mean amount spent to within 6 dollars with 98% confidence? (Round your answer up to the next largest integer).
A marketing specialist wants to estimate the average amount spent by visitors to an online retailers...
A marketing specialist wants to estimate the average amount spent by visitors to an online retailers newly-designed website. From the data in a preliminary study she guesses that the standard deviation of the amount spent is about 14 dollars. Question 1. How large a sample should she take to estimate the mean amount spent to within 5 dollars with 90% confidence? (Round your answer up to the next largest integer).
A marketing specialist wants to estimate the average amount spent by visitors to an online retailer's...
A marketing specialist wants to estimate the average amount spent by visitors to an online retailer's newly-designed website. From the data in a preliminary study she guesses that the standard deviation of the amount spent is about 14 dollars. Question 1. How large a sample should she take to estimate the mean amount spent to within 6 dollars with 95% confidence? (Round your answer up to the next largest integer).
question 1. A marketing specialist wants to estimate the average amount spent by visitors to an...
question 1. A marketing specialist wants to estimate the average amount spent by visitors to an online retailer's newly-designed website. From the data in a preliminary study she guesses that the standard deviation of the amount spent is about 16 dollars. How large a sample should she take to estimate the mean amount spent to within 4 dollars with 95% confidence? (Round your answer up to the next largest integer). ______ question 2. Pepsi wants to use this technique to...
How large a sample should be taken if the population mean is to be estimated with...
How large a sample should be taken if the population mean is to be estimated with 99% confidence to within $75? The population has a standard deviation of $893. (Round your answer up to the next whole number.) You may need to use the appropriate table in Appendix B to answer this question.
The operations manager of a large production plant would like to estimate the average amount of...
The operations manager of a large production plant would like to estimate the average amount of time workers take to assemble a new electronic component. After observing a number of workers assembling similar devices, she guesses that the standard deviation is 6 minutes. How large a sample of workers should she take if she wishes to estimate the mean assembly time to within 30 seconds with a confidence level of 95%. (Be sure to use plenty of deicmal places throughout...
An economist wants to estimate the mean per capita income (in thousands of dollars) for a...
An economist wants to estimate the mean per capita income (in thousands of dollars) for a major city in California. He believes that the mean income is $21.3, and the variance is known to be $32.49. How large of a sample would be required in order to estimate the mean per capita income at the 99% level of confidence with an error of at most $0.39? Round your answer up to the next integer.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT