In: Statistics and Probability
Consider an x distribution with standard deviation σ = 48.
(a) If specifications for a research project require the
standard error of the corresponding x distribution to be
3, how large does the sample size need to be?
n =
(b) If specifications for a research project require the standard
error of the corresponding x distribution to be 1, how
large does the sample size need to be?
n =
Suppose x has a distribution with μ = 27 and σ = 24.
(a) If a random sample of size n = 42 is drawn, find μx, σx and P(27 ≤ x ≤ 29). (Round σx to two decimal places and the probability to four decimal places.)
μx = |
σx = |
P(27 ≤ x ≤ 29) = |
(b) If a random sample of size n = 62 is drawn, find
μx, σx
and P(27 ≤ x ≤ 29). (Round
σx to two decimal places and the
probability to four decimal places.)
μx = |
σx = |
P(27 ≤ x ≤ 29) = |
(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--- the
same as larger than smaller than part (a) because of
the ---Select--- larger same smaller sample size.
Therefore, the distribution about μx
is ---Select--- wider the same narrower .
Solution :
Given that standard deviation σ = 48
(a) standard error σ/sqrt(n) = 3
=> sqrt(n) = σ/3
=> n = (σ/3)^2
= (48/3)^2
= 256
=> sample size n = 256
(b) standard error σ/sqrt(n) = 1
=> sqrt(n) = σ/1
=> n = (σ/1)^2
= (48/1)^2
= 2304
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Solution :
Given that mean μ = 27 and standard deviation σ = 24
(a) when n = 42
=> μx = μ = 27
=> σx = σ/sqrt(n) = 24/sqrt(42) = 3.70
=> P(27 <= x <= 29) = P(26.5 < x < 29.5)
= P((26.5 - 27)/3.70 < (x - μx)/σx < (29.5 - 27)/3.70)
= P(-0.1351 < Z < 0.6757)
= 0.3074
(b) when n = 62
=> μx = μ = 27
=> σx = σ/sqrt(n) = 24/sqrt(62) = 3.05
=> P(27 <= x <= 29) = P(26.5 < x < 29.5)
= P((26.5 - 27)/3.05 < (x - μx)/σx < (29.5 - 27)/3.05)
= P(-0.1639 < Z < 0.8197)
= 0.3575
(c)
=> The standard deviation of part (b) is smaller than part (a) because of the larger sample size. Therefore, the distribution about μx is the same.