(a)
Construct a 95% confidence interval about
Mu μ if the sample size, n, is 34
Lower bound:
___________
; Upper bound:
______________
(Use ascending order. Round to two decimal places as needed.)
(b) Construct a 95% confidence interval about mu μ if the sample size, n, is 51.
Lower bound:
____________
; Upper bound:
____________
(Use ascending order. Round to two decimal places as needed.)
How does increasing the sample size affect the margin of error, E?
A.
The margin of error decreases.
B.
The margin of error does not change.
C.
The margin of error increases.
(c) Construct a 99% confidence interval about mu μ if the sample size, n, is 34
Lower bound:
___________
; Upper bound:
________________
(Use ascending order. Round to two decimal places as needed.)
Compare the results to those obtained in part (a). How does increasing the level of confidence affect the size of the margin of error, E?
A.
The margin of error decreases.
B.
The margin of error increases.
C.
The margin of error does not change.
(d) If the sample size is 13
, what conditions must be satisfied to compute the confidence interval?
A.
The sample size must be large and the sample should not have any outliers.
B.
The sample must come from a population that is normally distributed and the sample size must be large.
C.
The sample data must come from a population that is normally distributed with no outliers.
Answer:
a) As xbar and standard deviation is given in the question
Let us take an example:
Xbar = 18.9 standard deviation =4.3
Margin of error = 1.96 * 4.3/sqrt (34) = 1.445
Lower bound = 18.9 - 1.445 = 17.46
Upper bound = 18.9 + 1.445 = 20.25
b)
Margin of error = 1.96 * 4.3/sqrt (51) = 1.18
Lower bound = 18.9 - 1.18 = 17.72
Upper bound = 18.9 + 1.18 = 20.08
The increasing the sample size affect the margin oferror is
Margin of error decreases
c)
Margin of error = 2.575 * 4.3/sqrt (34) = 1.899
Lower bound = 18.9 - 1.889 = 17.01
Upper bound = 18.9 + 1.889 = 20.79
The margin of error increases
d)
For Computing the Confidence Interval sample size must be large.
Hence
The sample must come from a population that is normally distributed and the sample size must be large.
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