Suppose x has a distribution with μ = 22 and σ = 18.
(a) If a random sample of size n = 35 is drawn, find μx, σx and P(22 ≤ x ≤ 24). (Round σx to two decimal places and the probability to four decimal places.)
μx = |
σx = |
P(22 ≤ x ≤ 24) = |
(b) If a random sample of size n = 60 is drawn, find
μx, σx
and P(22 ≤ x ≤ 24). (Round
σx to two decimal places and the
probability to four decimal places.)
μx = |
σx = |
P(22 ≤ x ≤ 24) = |
(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---
smaller than the same as larger than part (a) because of
the ---Select--- smaller larger same sample size.
Therefore, the distribution about μx
is ---Select--- wider narrower the same .
a) formula for the standard normal Z score :
b) n=60
c) The standard error is inversely proportional to the sample size
in b the sample size is large hence the standard error reduces, in the term the standard Z score increases in b compared to a.
Hence the probability of part b is higher than part a
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