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Given: In order to evaluate the suitability of nonpotable water available at the

ID: 3273912 • Letter: G

Question

Given: In order to evaluate the suitability of nonpotable water available at the job site for mixing concrete, six standard mortar cubes were made using the water and six others using potable water. The cubes were tested for compressive strength after 7 days of curing and produced the loads to failure (in pounds) shown in the the table. Based on these results only, would you accept that water for mixing concrete? (assume the level of significance is 0.05).

Cubes Made with Non-potable Water

Cubes Made with Potable Water

14530

16530

15820

16820

14160

17920

16100

15690

15870

18820

14380

16720

Required: Null and alternative hypothesis stated. Tcalc. Tvalue. T-test claim correct.

Cubes Made with Non-potable Water

Cubes Made with Potable Water

14530

16530

15820

16820

14160

17920

16100

15690

15870

18820

14380

16720

Explanation / Answer

Null Hypothesis H0: Mean loads to failure for cubes made with non-potable Water is equal to mean loads to failure for cubes made with potable Water.

Alternative Hypothesis H1: Mean loads to failure for cubes made with non-potable Water is less than the mean loads to failure for cubes made with potable Water.

Loads to failure for cubes Made with Non-potable Water = (14530, 15820, 15820, 15820, 15820, 15820)

Loads to failure for cubes Made with potable Water = (16530, 16530, 17920, 15690, 18820, 16720)

Mean of loads to failure for cubes Made with Non-potable Water = 15605

Mean of loads to failure for cubes Made with potable Water = 17035

Standard deviation of loads to failure for cubes Made with Non-potable Water = 526.64

Standard deviation of loads to failure for cubes Made with Potable Water = 1130.30

The  standard error (SE) of the sampling distribution.

SE = sqrt[ (s12/n1) + (s22/n2) ]

where s1 is the  standard deviation of sample 1, s2 is the standard deviation of sample 2, n1 is the size of sample 1, and n2 is the size of sample 2.

SE = sqrt[ (526.642/6) + (1130.302/6) ] = 509.07

The degrees of freedom (DF) is:

DF = (s12/n1 + s22/n2)2 / { [ (s12 / n1)2 / (n1 - 1) ] + [ (s22 / n2)2 / (n2 - 1) ] }

DF = (526.642/6 + 1130.302/6)2 / { [ (526.642 / 6)2 / (6 - 1) ] + [ (1130.302 / 6)2 / (6 - 1) ] }

= 7 (Rounding to nearest integer)

T statistic = (Mean of sample 1 - Mean of sample 2) / SE

= (526.64 - 1130.30) / 509.07 = - 1.186

P-value for T = - 1.186 at DF = 7 is 0.1372

As, the p-value is greater than level of significance is 0.05, we fail to reject the null hypothesis and conclude that the mean loads to failure for cubes made with non-potable Water is equal to mean loads to failure for cubes made with potable Water. So, we can claim that the nonpotable water available at the job site are suitable for mixing concrete.

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