Suppose x has a distribution with = 25 and σ = 24. USE SALT (a) If a random sample of size n = 32 is drawn, find and P(25 ≤ x ≤ 27). (Round a to two decimal places and the probability to four decimal places.) fx = σx= P(25 ≤ x ≤ 27) = (b) If a random sample of size n = 74 is drawn, find μx, and P(25 ≤ x ≤ 27). (Round a to two decimal places and the probability to four decimal places.) fx= Jy = P(25 ≤ x ≤27) = (c) Why should you expect the probability of part (b) to be higher than that.of.part.(a)?..(Hint: Consider the standard deviations in parts (a) and (b).) The standard deviation of part (b) is ---Select--- part (a) because of the --Select-- sample size. Therefore, the distribution about is --Select--

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Suppose x has a distribution with = 25 and σ = 24.
USE SALT
(a) If a random sample of size n = 32 is drawn, find ux, and P(25 ≤ x ≤ 27). (Round a to two decimal places and the probability to four decimal places.)
fx =
ox
P(25 ≤ x ≤27) =
(b) If a random sample of size n = 74 is drawn, find xox and P(25 ≤ x ≤ 27). (Round a to two decimal places and the probability to four decimal places.)
fx =
Jy =
P(25 ≤ x ≤ 27) =
(c) Why should you expect the probability of part (b) to be higher than that.of.part.(a)?..(Hint: Consider the standard deviations in parts (a) and (b).)
The standard deviation of part (b) is --Select--- part (a) because of the ---Select--- sample size. Therefore, the distribution about is --Select----
Transcribed Image Text:Suppose x has a distribution with = 25 and σ = 24. USE SALT (a) If a random sample of size n = 32 is drawn, find ux, and P(25 ≤ x ≤ 27). (Round a to two decimal places and the probability to four decimal places.) fx = ox P(25 ≤ x ≤27) = (b) If a random sample of size n = 74 is drawn, find xox and P(25 ≤ x ≤ 27). (Round a to two decimal places and the probability to four decimal places.) fx = Jy = P(25 ≤ x ≤ 27) = (c) Why should you expect the probability of part (b) to be higher than that.of.part.(a)?..(Hint: Consider the standard deviations in parts (a) and (b).) The standard deviation of part (b) is --Select--- part (a) because of the ---Select--- sample size. Therefore, the distribution about is --Select----
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