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A survey of 2,250 adults reported that 56?% watch news videos.


a. Suppose that you take a sample of 50 adults. If the population proportion of adults who watch news videos is 0.56, what is the probability that fewer than half in your sample will watch the news videos?


b. Suppose that you take a sample of 250 adults. If the population proportion of adults who watch news videos is 0.56, what is the probability that fewer than half in your sample will watch the news videos?


Sampling distribution of proportions

The theorem that gives results to estimate the sample distribution for the proportions of a population is ordinarily known as the central limit theorem for proportions. The distribution basically follows binomial, but under certain conditions, it can be approximated to normal.

Answer :

a. The probability of fewer than half of 50 adults watching news videos can be estimated using a normal approximation by calculating the z-score based on the population proportion of 0.56.

b. For a sample of 250 adults, the same normal approximation can be applied to determine the probability of fewer than half watching news videos by calculating the z-score and referring to the standard normal distribution.

a. The probability that fewer than half in a sample of 50 adults will watch news videos, given a population proportion of 0.56, can be estimated using the normal approximation. The conditions for normal approximation are satisfied since both np (28) and n(1-p) (22) are greater than 10. By calculating the z-score using the formula z = (x - np) / sqrt(np(1-p)), where x is the number of adults watching news videos, we can find the corresponding probability using a standard normal distribution table or calculator.

b. When taking a sample of 250 adults, the same normal approximation can be applied since the conditions for approximation are met (np = 140 > 10 and n(1-p) = 110 > 10). The probability of fewer than half in the sample watching news videos can be determined by calculating the z-score and referencing the standard normal distribution.

Learn more about central limit theorem here: brainly.com/question/898534

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