In a large population, 76% of the households own microwaves. A simple random sample of 100 households is to be contacted and the sample proportion computed. What is the mean and standard deviation of the sampling distribution of the sample proportions?

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Answer:

Mean and standard deviation of the sampling distribution of the sample proportions are 76 and 0.0427 respectively.

Step-by-step explanation:

The mean for a sample proportion is given by μ = np

n = sample size = 100

p = fraction of the sample proportion that have what is being tested = 76% = 0.76

μ = 0.76 × 100 = 76.

Standard deviation of a sample proportion = σ = √[p(1-p)/n] = √(0.76×0.24/100) = 0.0427

Answer:

Mean = 76

Standard deviation = 0.043

Step-by-step explanation:

We are given that in a large population, 76% of the households own microwaves. Also, a simple random sample of 100 households is to be contacted and the sample proportion computed.

The above situation can be represented as a Binomial distribution where;

Let X = Proportion of households who own microwaves, i.e;

X ~ [tex]Binom(n=100,p=0.76)[/tex]

Here, n = sample size

        p = probability of success

So, the mean of the sampling distribution of the sample proportions is given by, [tex]\mu[/tex] = n * p = 100 * 0.76 = 76 .

Standard deviation of the sampling distribution of the sample proportions, σ = [tex]\sqrt{\frac{p(1-p)}{n} }[/tex] = [tex]\sqrt{\frac{0.76(1-0.76)}{100} }[/tex] = 0.043 .

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