In: Statistics and Probability
For this question assume that we have a random sample from a normal distribution with
unknown mean but known variance.
(a) Suppose that we have 36 observations, the sample mean is 5, and the population
variance is 9. Construct a 95% confidence interval for the population mean.
(b) Repeat the preceding with a population variance of 25 rather than 9.
(c) Repeat the preceding with a sample size of 25 rather than 36.
(d) Repeat the preceding but construct a 50% rather than 95% confidence interval.
(e) Repeat the preceding but construct a 99% rather than a 50% confidence interval.
a)
Mean = 5
Sample size (n) = 36
Standard deviation (s) =
Confidence interval(in %) = 95
z @ 95.0% = 1.96
Since we know that
Required confidence interval
Required confidence interval = (5.0-0.98, 5.0+0.98)
Required confidence interval = (4.02, 5.98)
b)
Mean = 5
Sample size (n) = 36
Standard deviation (s) =
Confidence interval(in %) = 95
z @ 95.0% = 1.96
Since we know that
Required confidence interval
Required confidence interval = (5.0-1.6333, 5.0+1.6333)
Required confidence interval = (3.3667, 6.6333)
c)
Mean = 5
Sample size (n) = 25
Standard deviation (s) =
Confidence interval(in %) = 95
Since we know that
Required confidence interval
Required confidence interval = (5.0-2.0639, 5.0+2.0639)
Required confidence interval = (2.9361, 7.0639)
d)
Mean = 5
Sample size (n) = 25
Standard deviation (s) =
Confidence interval(in %) = 50
Since we know that
Required confidence interval
Required confidence interval = (5.0-0.6848, 5.0+0.6848)
Required confidence interval = (4.3152, 5.6848)
e)
Mean = 5
Sample size (n) = 25
Standard deviation (s) =
Confidence interval(in %) = 99
Since we know that
Required confidence interval
Required confidence interval = (5.0-2.7969, 5.0+2.7969)
Required confidence interval = (2.2031, 7.7969)
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