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Suppose an internet marketing company wants to determine the current percentage of customers who click on ads on their smartphones. How many customers should the company survey in order to be % confident that the estimated proportion is within five percentage points of the true population proportion of customers who click on ads on their smartphones?

Short Answer

Expert verified

The sample size is n =271

Step by step solution

01

Step 1: Given Information

Given in the question that, an internet marketing company wants to determine the current percentage of customers who click on ads on their smartphones

We must locate How many consumers need the company survey in order to be 90 percent confident that the predicted proportion of customers who click on advertising on their cellphones is within five percentage points of the genuine population proportion?

02

Explanation

According to the information, We know that confident level is 90%,

Then,

α2=1−0.902=0.05

and

zα2=1.645

However, we need to know the estimated (sample) proportion p in order to find localid="1650608891485" n. Keep in mind that localid="1650608908717" q=1-p. However, we don't yet know what localid="1650608912935" pis. Because localid="1650608916792" pand localid="1650608921420" qare multiplied simultaneously, we set them both to localid="1650608941278" 0.5becauselocalid="1650608925298" pq=0.5×0.5=0.25yields the biggest feasible product.

The error in estimating the true value of localid="1650608945447" pis localid="1650608949079" E=5%=0.05than from equation (1)

localid="1650608953027" n=(1.6450.05)20.25=270.6025

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Most popular questions from this chapter

The data in the Table are the result of a random survey of 39national flags (with replacement between picks) from various countries. We are interested in finding a confidence interval for the true mean number of colors on a national flag. Let X=the number of colors on a national flag.

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Construct a95%confidence interval for the true mean number of colors on national flags.

How much area is in both tails (combined)?

If you decreased the allowable error bound, why would the minimum sample size increase (keeping the same level of

confidence)?

Suppose that an accounting firm does a study to determine the time needed to complete one person’s tax forms. It

randomly surveys 100 people. The sample mean is 23.6 hours. There is a known standard deviation of 7.0 hours. The

population distribution is assumed to be normal.

a. I. X=________

ii. σ =________

iii. n =________

b. In words, define the random variables X and X

c. Which distribution should you use for this problem? Explain your choice.

d. Construct a 90% confidence interval for the population mean time to complete the tax forms.

i. State the confidence interval.

ii. Sketch the graph.

iii. Calculate the error bound.

e. If the firm wished to increase its level of confidence and keep the error bound the same by taking another survey,

what changes should it make?

f. If the firm did another survey, kept the error bound the same, and only surveyed 49 people, what would happen to

the level of confidence? Why?

g. Suppose that the firm decided that it needed to be at least 96% confident of the population mean length of time to

within one hour. How would the number of people the firm surveys change? Why?

Construct a 90% confidence interval for the population mean time to complete the forms. State the confidence interval, sketch the graph and calculate the error bound.

Which distribution should you use for this problem?

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