The accompanying table gives summary data on cube compressive strength (N/mm2) for concrete specimens made with a pulverized fuel-ash mix. Age Sample Mean (days) 7 28 Sample Size 65 74 26.97 34.75 Sample SD 4.85 6.43 Calculate a 99% CI for the difference between true average 7-day strength and true average 28-day strength. (Use Ho: M-428 = 0. Round your answers to two decimal places.) ) N/mm² Interpret your 99% CI. O With 99% confidence, we can say that the true difference falls between these values. O With 99% confidence, that the true difference falls outside these values. With 99% confidence, that the true difference falls below the lower bound. O With 99% confidence, that the true difference falls above the upper bound.

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Author:Amos Gilat
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The accompanying table gives summary data on cube compressive strength (N/mm2) for concrete specimens made with a pulverized fuel-ash mix.
Age
(days)
Sample
Mean
7
28
Sample
Size
65
74
26.97
34.75
Sample
SD
4.85
6.43
Calculate a 99% CI for the difference between true average 7-day strength and true average 28-day strength. (Use Ho: MM280. Round your answers to two decimal places.)
]) N/mm²
Interpret your 99% CI.
O With 99% confidence, we can say that the true difference falls between these values.
With 99% confidence, that the true difference falls outside these values.
With 99% confidence, that the true difference falls below the lower bound.
With 99% confidence, that the true difference falls above the upper bound.
You may need to use the appropriate table in the Appendix of Tables to answer this question.
Transcribed Image Text:The accompanying table gives summary data on cube compressive strength (N/mm2) for concrete specimens made with a pulverized fuel-ash mix. Age (days) Sample Mean 7 28 Sample Size 65 74 26.97 34.75 Sample SD 4.85 6.43 Calculate a 99% CI for the difference between true average 7-day strength and true average 28-day strength. (Use Ho: MM280. Round your answers to two decimal places.) ]) N/mm² Interpret your 99% CI. O With 99% confidence, we can say that the true difference falls between these values. With 99% confidence, that the true difference falls outside these values. With 99% confidence, that the true difference falls below the lower bound. With 99% confidence, that the true difference falls above the upper bound. You may need to use the appropriate table in the Appendix of Tables to answer this question.
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