In: Statistics and Probability
In a study of pulverized fuel-ash concrete mix, it was found that the sample mean compressive strength was 27.0 with a standard deviation of 4.89 for a sample of 68 specimens which had been aged for 7 days. A sample of 74 specimens which had been aged for 28 days yielded a mean compressive strength of 35.8 with standard deviation 6.43. Is there strong evidence that mean compressive strength is higher after 28 days than after 7 days? Yes, because an approximate 95% confidence interval for the difference in mean compressive strength is 8.8 ± 1.9. No, because an approximate 95% confidence interval for the difference in mean compressive strength is 8.8 ± 1.9. Yes, because an approximate 95% confidence interval for the difference in mean compressive strength is 8.8 ± 3.1. No, because an approximate 95% confidence interval for the difference in mean compressive strength is 8.8 ± 3.1. No, because a paired analysis is required for this kind of data:
Yes, because an approximate 95% confidence interval for the difference in mean compressive strength is 8.8 ± 1.9
No, because an approximate 95% confidence interval for the difference in mean compressive strength is 8.8 ± 3.1. Yes, because an approximate 95% confidence interval for the difference in mean compressive strength is 8.8 ± 3.1.
No, because an approximate 95% confidence interval for the difference in mean compressive strength is 8.8 ± 1.9.
No, because a paired analysis is required for this kind of data.
x1 = | 35.80 | x2 = | 27.00 |
n1 = | 74 | n2 = | 68 |
σ1 = | 6.43 | σ2 = | 4.89 |
std error σx1-x2=√(σ21/n1+σ22/n2) = | 0.954 |
Point estimate of differnce '=x1-x2 = | 8.800 | ||
for 95 % CI value of z= | 1.960 | ||
margin of error E=z*std error = | 1.9 |
correct option is:
Yes, because an approximate 95% confidence interval for the difference in mean compressive strength is 8.8 ± 1.9
(since interval values are above 0)