Suppose x has a distribution with μ = 30 and σ = 26.   (a) If a random sample of size n = 31 is drawn, find μx, σ x and P(30 ≤ x ≤ 32). (Round σx to two decimal places and the probability to four decimal places.) μx =  σ x =  P(30 ≤ x ≤ 32) =  (b) If a random sample of size n = 65 is drawn, find μx, σ x and P(30 ≤ x ≤ 32). (Round σ x to two decimal places and the probability to four decimal places.) μx =  σ x =  P(30 ≤ x ≤ 32) =  (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--- larger than the same as smaller than part (a) because of the  ---Select--- same larger smaller sample size. Therefore, the distribution about μx is  ---Select--- wider the same narrower .

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Suppose x has a distribution with μ = 30 and σ = 26.

 
(a) If a random sample of size n = 31 is drawn, find μx, σ x and P(30 ≤ x ≤ 32). (Round σx to two decimal places and the probability to four decimal places.)
μx = 
σ x = 
P(30 ≤ x ≤ 32) = 

(b) If a random sample of size n = 65 is drawn, find μx, σ x and P(30 ≤ x ≤ 32). (Round σ x to two decimal places and the probability to four decimal places.)
μx = 
σ x = 
P(30 ≤ x ≤ 32) = 

(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--- larger than the same as smaller than part (a) because of the  ---Select--- same larger smaller sample size. Therefore, the distribution about μx is  ---Select--- wider the same narrower .
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