In: Statistics and Probability
Suppose x has a distribution with μ = 29 and σ = 21.
(a) If a random sample of size n = 47 is drawn, find μx, σx and P(29 ≤ x ≤ 31). (Round σx to two decimal places and the probability to four decimal places.)
| μx = | 
| σx = | 
| P(29 ≤ x ≤ 31) = | 
(b) If a random sample of size n = 70 is drawn, find
μx, σx
and P(29 ≤ x ≤ 31). (Round
σx to two decimal places and the
probability to four decimal places.)
| μx = | 
| σx = | 
| P(29 ≤ x ≤ 31) = | 
(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--- larger same smaller sample size.
Therefore, the distribution about μx
is  ---Select--- the same narrower wider .
a)

= 
 = 29

= 
 / sqrt(n)
= 21 / sqrt(47)
= 3.06
Using central limit theorem,
P(
< x) = P(Z < (x - 
)
/ 
)
So,
P(29 <= X <= 31) = P(X <= 31) - P(X <= 29)
= P(Z <= (31 - 29) / 3.06) - P(Z <= (29 - 29) / 3.06)
= P(Z < 0.65) - P(Z < 0)
= 0.7422 - 0.5
= 0.2422
b)

= 
 = 29

= 
 / sqrt(n)
= 21 / sqrt(70)
= 2.51
Using central limit theorem,
P(
< x) = P(Z < (x - 
)
/ 
)
So,
P(29 <= X <= 31) = P(X <= 31) - P(X <= 29)
= P(Z <= (31 - 29) / 2.51) - P(Z <= (29 - 29) / 2.51)
= P(Z < 0.80) - P(Z < 0)
= 0.7881 - 0.5
= 0.2881
c)
The standard deviation in part b is smaller than the part a) . because of larger sample size.
Therefore, the distribution about  
is narrower