Question

Suppose a marketing company wants to determine the current proportion of customers who click on ads...

Suppose a marketing company wants to determine the current proportion of customers who click on ads on their smartphones. It was estimated that the current proportion of customers who click on ads on their smartphones is 0.42 based on a random sample of 100 customers.
Compute a 92% confidence interval for the true proportion of customers who click on ads on their smartphones and fill in the blanks appropriately.


  < p <   (round to 3 decimal places)

Homework Answers

Answer #1

Solution :

Given that,

n = 100

Point estimate = sample proportion = = 0.42

1 - = 1-0.42=0.58

At 92% confidence level

Z/2=1.751 ( Using z table )   

Margin of error = E = Z / 2 * (( * (1 - )) / n)

= 1.751(((0.42*0.58) /100 )

= 0.086

A 95% confidence interval for population proportion p is ,

- E < p < + E

0.42-0.086 < p < 0.42+0.086

0.334<p<0.506

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
Suppose a marketing company wants to determine the current proportion of customers who click on ads...
Suppose a marketing company wants to determine the current proportion of customers who click on ads on their smartphones. It was estimated that the current proportion of customers who click on ads on their smartphones is 0.4 based on a random sample of 90 customers. Compute a 92% confidence interval for the true proportion of customers who click on ads on their smartphones and fill in the blanks appropriately.
Suppose a marketing company wants to determine the current proportion of customers who click on ads...
Suppose a marketing company wants to determine the current proportion of customers who click on ads on their smartphones. It was estimated that the current proportion of customers who click on ads on their smartphones is 0.68. How many customers should the company survey in order to be 92% confident that the margin of error is 0.21 for the confidence interval of true proportion of customers who click on ads on their smartphones?
Suppose a marketing company wants to determine the current proportion of customers who click on ads...
Suppose a marketing company wants to determine the current proportion of customers who click on ads on their smartphones. It was estimated that the current proportion of customers who click on ads on their smartphones is 0.58. How many customers should the company survey in order to be 99% confident that the margin of error is 0.19 for the confidence interval of true proportion of customers who click on ads on their smartphones? (Round up your answer to nearest whole...
Suppose a marketing company wants to determine the current proportion of customers who click on ads...
Suppose a marketing company wants to determine the current proportion of customers who click on ads on their smartphones. It was estimated that the current proportion of customers who click on ads on their smartphones is 0.58. How many customers should the company survey in order to be 97% confident that the margin of error is 0.13 for the confidence interval of true proportion of customers who click on ads on their smartphones? (Round up your answer to nearest whole...
Suppose a marketing company wants to determine the current proportion of customers who click on ads...
Suppose a marketing company wants to determine the current proportion of customers who click on ads on their smartphones. It was estimated that the current proportion of customers who click on ads on their smartphones is 0.65. How many customers should the company survey in order to be 94% confident that the margin of error is 0.22 for the confidence interval of true proportion of customers who click on ads on their smartphones? Answer: (Round up your answer to nearest...
Suppose a marketing company wants to determine the current proportion of customers who click on ads...
Suppose a marketing company wants to determine the current proportion of customers who click on ads on their smartphones. It was estimated that the current proportion of customers who click on ads on their smartphones is 0.65. How many customers should the company survey in order to be 94% confident that the margin of error is 0.22 for the confidence interval of true proportion of customers who click on ads on their smartphones? Answer: (Round up your answer to nearest...
Suppose the manager of a shoe store wants to determine the current percentage of customers who...
Suppose the manager of a shoe store wants to determine the current percentage of customers who are males. How many customers should the manager survey in order to be 92% confident that the estimated (sample) proportion is within 5 percentage points of the true population proportion of customers who are males? z0.10 z0.05 z0.04 z0.025 z0.01 z0.005 1.282 1.645 1.751 1.960 2.326 2.576 Use the table of values above.
Suppose the manager of a shoe store wants to determine the current percentage of customers who...
Suppose the manager of a shoe store wants to determine the current percentage of customers who are males. How many customers should the manager survey in order to be 95% confident that the estimated (sample) proportion is within 5 percentage points of the true population proportion of customers who are males? Z0.10 Z0.05 Z0.04 Z0.025 Z0.01 Z0.05 1.282 1.645 1.751 1.960 2.326 2.576
Suppose the manager of a shoe store wants to determine the current percentage of customers who...
Suppose the manager of a shoe store wants to determine the current percentage of customers who are males. How many customers should the manager survey in order to be 98% confident that the estimated (sample) proportion is within 5 percentage points of the true population proportion of customers who are males? z0.10 z0.05 z0.04 z0.025 z0.01 z0.005 1.282 1.645 1.751 1.960 2.326 2.576 Use the table of values above?
Suppose the manager of a shoe store wants to determine the current percentage of customers who...
Suppose the manager of a shoe store wants to determine the current percentage of customers who are males. How many customers should the manager survey in order to be 99% confident that the estimated (sample) proportion is within 5 percentage points of the true population proportion of customers who are males? z0.10 z0.05 z0.04 z0.025 z0.01 z0.005 1.282 1.645 1.751 1.960 2.326 2.576 Use the table of values above.