Suppose a marketing company computed a 98% confidence interval for the true proportion of customers who click on ads on their smartphones to be (0.45 , 0.51). Select the correct answer to interpret this interval
A 98% of customers click on ads on their smartphones. |
We are 98% confident that the true proportion of customers who click on ads on their smartphones is between 0.45 and 0.51. |
We are 98% confident that the true proportion of customers who click on ads on their smartphones is 0.48. |
There is a 98% chance that the true proportion of customers who click on ads on their smartphones is between 0.45 and 0.51. |
Suppose a marketing company computed a 98% confidence interval for the true proportion of customers who...
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 0.6. How many customers should the company survey in order to be 99% confident that the margin of error is 0.17 for the confidence interval of true proportion of customers who click on ads on their smartphones? (round Up your answer to the nearest...
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 97% confident that the margin of error is 0.23 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 on their smartphones. It was estimated that the current proportion of customers who click on ads on their smartphones is 0.45 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 <___(Keep 3 decimal places)
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 0.45 based on a random sample of 60 customers. Compute a 95% confidence interval for the true proportion of customers who click on ads on their smartphones and fill in the blanks appropriately. (Keep 3 decimal places)
Question number 6 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 0.66. How many customers should the company survey in order to be 97 % confident that the margin of error is 0.17 for the confidence interval of true proportion of customers who click on ads on their smartphones? (Round up your...
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 0.64. How many customers should the company survey in order to be 95% 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? Please explain in detail how you get...
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 80 customers. Compute a 99% confidence interval for the true proportion of customers who click on ads on their smartphones and fill in the blanks appropriately. Answer= ___ < p < ___ (Keep 3 decimal places)
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 0.41 based on a random sample of 100 customers. Compute a 99% confidence interval for the true proportion of customers who click on ads on their smartphones and fill in the blanks appropriately. < p < (Keep 3 decimal places)
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 65 customers. Compute a 95% confidence interval for the true proportion of customers who click on ads on their smartphones and fill in the blanks appropriately. (?< p <?) (Keep 3 decimal places)
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 85 customers. Compute a 95% confidence interval for the true proportion of customers who click on ads on their smartphones and fill in the blanks appropriately. (Keep 3 decimal places) p <