In: Statistics and Probability
Suppose x has a distribution with μ = 23 and σ = 18.
(a) If a random sample of size n = 42 is drawn, find μx, σx and P(23 ≤ x ≤ 25). (Round σx to two decimal places and the probability to four decimal places.)
μx = |
σx = |
P(23 ≤ x ≤ 25) = |
(b) If a random sample of size n = 63 is drawn, find
μx, σx
and P(23 ≤ x ≤ 25). (Round
σx to two decimal places and the
probability to four decimal places.)
μx = |
σx = |
P(23 ≤ x ≤ 25) = |
(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 larger than the same as part (a) because of
the ---Select--- larger smaller same sample size.
Therefore, the distribution about μx
is ---Select--- wider narrower the same .
Solution :
Given that,
mean = = 23
standard deviation = = 18
(A) n=42
= 23
= / n = 18 / 42=2.7775
= P(23< < 25) = P[(23 - 23) / 2.7775< ( - ) / < (25 - 23) / 2.7775)]
= P( 0< Z <0.72 )
= P(Z <0.72 ) - P(Z <0 )
Using z table,
=0.7642 -0.5
= 0.2642
(B)n=63
= 23
= / n = 18 / 63=2.2678
= P(23< < 25) = P[(23 - 23) / 2.2678< ( - ) / < (25 - 23) /2.2678)]
= P( 0< Z <0.88)
= P(Z <0.88 ) - P(Z <0)
Using z table,
=0.8106 -0.5
= 0.3106