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