A population proportion is 0.40. A sample of size 100 will be taken and the sample proportion p will be used to estimate the population proportion. (Round your answers to four decimal places.) (a) What is the probability that the sample proportion will be within ±0.03 of the population proportion? (b) What is the probability that the sample proportion will be within ±0.05 of the population proportion?
A population proportion is 0.40. A sample of size 100 will be taken and the sample proportion p will be used to estimate the population proportion. (Round your answers to four decimal places.) (a) What is the probability that the sample proportion will be within ±0.03 of the population proportion? (b) What is the probability that the sample proportion will be within ±0.05 of the population proportion?
A population proportion is 0.40. A sample of size 100 will be taken and the sample proportion p will be used to estimate the population proportion. (Round your answers to four decimal places.) (a) What is the probability that the sample proportion will be within ±0.03 of the population proportion? (b) What is the probability that the sample proportion will be within ±0.05 of the population proportion?
A population proportion is 0.40. A sample of size 100 will be taken and the sample proportion
p
will be used to estimate the population proportion. (Round your answers to four decimal places.)
(a)
What is the probability that the sample proportion will be within ±0.03 of the population proportion?
(b)
What is the probability that the sample proportion will be within ±0.05 of the population proportion?
Definition Definition Number of subjects or observations included in a study. A large sample size typically provides more reliable results and better representation of the population. As sample size and width of confidence interval are inversely related, if the sample size is increased, the width of the confidence interval decreases.
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