In: Statistics and Probability
Suppose x has a distribution with μ = 15 and σ = 7.
(a) If a random sample of size n = 49 is drawn, find μx, σx and P(15 ≤ x ≤ 17). (Round σx to two decimal places and the probability to four decimal places.)
μx = |
σx = |
P(15 ≤ x ≤ 17) = |
(b) If a random sample of size n = 55 is drawn, find
μx, σx
and P(15 ≤ x ≤ 17). (Round
σx to two decimal places and the
probability to four decimal places.)
μx = |
σx = |
P(15 ≤ x ≤ 17) = |
(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--- smaller same larger sample size.
Therefore, the distribution about μx
is ---Select--- narrower the same wider .
Solution :
Given that ,
mean = = 15
standard deviation = = 7
n = 49
= 15
= / n= 7/ 49=1
P(15≤ x ≤17 ) = P[(15 -15) / 1< ( - ) / < (17 -15) /1 )]
= P( 0< Z <2 )
= P(Z <2 ) - P(Z <0 )
Using z table
=0.9772 -0.5
=0.4772
probability=0.4772
(b)n=55
= 15
= / n= 7/ 55=0.94
P(15≤ x ≤17 ) = P[(15 -15) / 0.94< ( - ) / < (17 -15) /0.94 )]
= P( < Z <2.13 )
= P(Z <2.13 ) - P(Z <0 )
Using z table
=0.9834 -0.5
=0.4834
probability=0.4834