About 75% of young adult lnternet users (Ages18-29)watch online viden. Suppose that a sample survey contacts an SRS of 1000young adult Internet users and calculates the proportion of Pin this sample who watch online video.

What is the mean of sampling distribution of Pexplain

Short Answer

Expert verified

The required mean is 0.75

Step by step solution

01

Step-1 Given Information 

Given in the question that Population proportion(P)=75%=0.75(P)=75%=0.75(p)=75%=0.75

Sample size(n)=1000We have to find the mean.

02

Step-2 Explanation

The mean of the sampling distribution of pis :

localid="1650022599378" μp=P=0.75

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Most popular questions from this chapter

The central limit theorem is important in statistics because it allows us to use the Normal distribution to make inferences concerning the population mean

(a) if the sample size is reasonably large (for any population).

(b) if the population is normally distributed and the sample size is reasonably large.

(c) if the population is normally distributed (for any sample size).

(d) if the population is normally distributed and the population variance is known (for any sample size).

(e) if the population size is reasonably large (whether the population distribution is known or not,

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You work for an advertising agency that is preparing a new television commercial to appeal to women. You have been asked to design an experiment to compare the effectiveness of three versions of the commercial. Each subject will be shown one of the three versions and then asked about her attitude toward the product. You think there may be large differences between women who are employed and those who are not. Because of these differences, you should use

(a) a block design, but not a matched pairs design

(b) a completely randomized design.

(c) a matched pairs design.

(d) a simple random sample.

(e) a stratified random sample.

If we take a simple random sample of size n=500from a population of size 5,000,000, the variability of our estimate will be

(a) much less than the variability for a sample of size n=500 from a population of size 50,000,000.

(b) slightly less than the variability for a sample of size n=500from a population of size 50,000,000.

(c) about the same as the variability for a sample of size n=500from a population of size 50,000,000.

(d) slightly greater than the variability for a sample of size n=500from a population of size 50,000,000.

(e) much greater than the variability for a sample of size n=500 from a population of size 50,000,000.

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(a) Would you be surprised if a sample of 25 candies from the machine contained 8 orange candies (that's 32%orange)? How about 5 orange candies ( 20%orange)? Explain.

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