

The next line is in English. No need to refer to the above language
below row is English..
a)
Sample size, n = (z /
E)2
where z is z score for 95% confidence interval.
is the
population standard deviation
E is the margin of error.
z score for 95% confidence interval is 1.96
= 30
E = 5
Sample size, n = (1.96 * 30 / 5)2
= 138 (Rounding to nearest integer)
(b)
To estimate the population mean, we should use the population
standard deviation as it will provide smaller margin of error for
small sample size.
If we use sample standard deviation, it will give large margin of
error for small sample sizes.
(c)
Sample mean difference, d = (17 + 25 + 14 - 10 + 20 + 40 + 35 + 30 + 28 + 22 + 15 + 5)/12 = 20.08
Sample Std deviation, s = SQRT[(17 - 20.08)^2 + (25- 20.08)^2 + (14- 20.08)^2 + ( - 10- 20.08)^2 + (20- 20.08)^2 + ( 40- 20.08)^2 + (35 - 20.08)^2 + (30- 20.08)^2 + (28 - 20.08)^2 + (22 - 20.08)^2 + (15 - 20.08)^2 + (5- 20.08)^2 )/11]
= 13.53
Standard error of mean = s / = 13.53 /
=
3.905775
Degree of freedom = n - 1 = 12 - 1 = 11
Critical value of t at 95% confidence interval and df = 11 is 2.2
Margin of error = t * Std Error = 2.2 * 3.905775 = 8.59
95% confidence interval is,
(20.08 - 8.59, 20.08 + 8.59)
(11.49, 28.67)
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