Question

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.

Answer #1

Let p denotes the 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 0.42 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)

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 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 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 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 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 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 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 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.

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 80% confident that the
estimated (sample) proportion is within 6 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.

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