The formula for the confidence interval for sample proportion is:
where,
are the sample proportion in which we are interested.
So,
and
we have to find for 99% confidence interval, we need to look up at the Z- table.
i.e.
Now, the margin of error =
Thus, the confidence interval obtained as:
at 99% confidence level.
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Question number 13 In a random sample of 100 people, 47 consider themselves as baseball fans....
In a random sample of 80 people, 36 consider themselves as baseball fans. Compute a 92% confidence interval for the true proportion of people consider themselves as baseball fans and fill in the blanks appropriately. We are ____% confidence that the true proportion of people consider themselves as baseball fans is between ____ and ____ . (Keep 3 decimal places)
In a random sample of 100 people, 49 consider themselves as football fans. Compute a 92% confidence interval for the true proportion of people consider themselves as football fans and fill in the blanks appropriately. We are % confidence that the true proportion of people consider themselves as football fans is between and . (Keep 3 decimal places)
In a random sample of 80 people, 44 consider themselves as basketball fans. Compute a 99% confidence interval for the true proportion of people consider themselves as basketball fans and fill in the blanks appropriately. We are______ % confidence that the true proportion of people consider themselves as basketball fans is between ____and_____ . (Keep 3 decimal places)
Question number 11 In a random sample of 60 people, 27 consider themselves as basketball fans. Compute a 95% confidence interval for the true proportion of people consider themselves as basketball fans and fill in the blanks appropriately % confidence that the true proportion of people consider themselves as We are basketball fans is between and (Keep 3 decimal places)
A random sample found that forty-two percent of 100 Americans were satisfied with the gun control laws in 2017. Compute a 92% confidence interval for the true proportion of Americans who were satisifed with the gun control laws in 2017. Fill in the blanks appropriately. A 92% for the true proportion of Americans who were satisfied with the gun control laws in 2017 is(____)(_____)(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)
A random sample found that thirty-six percent of 50 Americans were satisfied with the gun control laws in 2017. Compute a 97% confidence interval for the true proportion of Americans who were satisifed with the gun control laws in 2017. Fill in the blanks appropriately. A 97% for the true proportion of Americans who were satisfied with the gun control laws in 2017 is(_____)(_____)(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 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)
It is known that the number of hours a student sleeps per night has a normal distribution. The sleeping time in hours of a random sample of 8 students is given below. 8.6, 8.3, 7.6, 6, 7.1, 5.6, 5.1, 6. Compute a 98% confidence interval for the true mean time a student sleeps per night and fill in the blanks appropriately. We have 98 % confidence that the true mean time a student sleeps per night is between ____ and...
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)