SOLUTION:
From given data,
Sample Mean = = 19.4
Sample standard deviation = S = 4.9
(a) Construct a 95% confidence interval about if the sample size,n,is 35
95% confidence interval
c = 95% = 95/100 = 0.95
= 1-c = 1-0.95 = 0.05
/2 = 0.05/2 = 0.025
Degree of freedom = df = n-1 = 35-1 = 34
Critical value = t/2,df = t0.025,34 = 2.0322
95% CI
- t/2,df * (s/sqrt(n)) < < +t/2,df * (s/sqrt(n))
19.4 -2.0322 * (4.9/sqrt(35)) < < 19.4+2.0322 * (4.9/sqrt(35))
19.4 -1.6831720269 < < 19.4+1.6831720269
17.72 < < 21.08
(b) Construct a 95% confidence interval about if the sample size,n,is 61
95% confidence interval
c = 95% = 95/100 = 0.95
= 1-c = 1-0.95 = 0.05
/2 = 0.05/2 = 0.025
Degree of freedom = df = n-1 = 61-1 = 60
Critical value = t/2,df = t0.025,60 = 2.00029
95% CI
- t/2,df * (s/sqrt(n)) < < +t/2,df * (s/sqrt(n))
19.4 -2.00029 * (4.9/sqrt(35)) < < 19.4+2.00029* (4.9/sqrt(35))
19.4 -1.6567425321 < < 19.4+1.6567425321
17.74 < < 21.06
How does increasing the sample size affect the margin of error E
The margin of error increases
Option (A) is correct
(c) Construct a 99% confidence interval about if the sample size,n,is 35
99% confidence interval
c = 99% = 99/100 = 0.99
= 1-c = 1-0.99 = 0.01
/2 = 0.01/2 = 0.005
Degree of freedom = df = n-1 = 35-1 = 34
Critical value = t/2,df = t0.005,34 = 2.72839
99% CI
- t/2,df * (s/sqrt(n)) < < +t/2,df * (s/sqrt(n))
19.4 -2.72839 * (4.9/sqrt(35)) < < 19.4+2.72839 * (4.9/sqrt(35))
19.4 -2.259792208 < < 19.4+2.259792208
17.14 < < 21.66
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