Question

In: Statistics and Probability

Scientists and engineers frequently wish to compare two different techniques for measuring or determining the value...

Scientists and engineers frequently wish to compare two different techniques for measuring or determining the value of a variable. In such situations, interest centers on testing whether the mean difference in measurements is zero. An article reports the accompanying data on amount of milk ingested by each of 14 randomly selected infants.

Infant
1 2 3 4 5 6 7 8 9 10 11 12 13 14
DD method 1509 1418 1561 1556 2169 1730 1098 1198 1479 1281 1414 1964 2174 2058
TW method 1498 1254 1356 1565 2000 1318 1410 1129 1342 1124 1468 1604 1722 1548
Difference

11

164

205

−9

169

412

−312

69

137

157

−54

360

452

510

(a)

Is it plausible that the population distribution of differences is normal?

No. The normal probability plot is not reasonably straight, so it's not plausible that time differences follow a normal distribution and the paired t-interval is not valid.No. The normal probability plot is reasonably straight, so it's not plausible that time differences follow a normal distribution and the paired t-interval is not valid.    Yes. The normal probability plot is reasonably straight, so it's plausible that time differences follow a normal distribution and the paired t-interval is valid.Yes. The normal probability plot is not reasonably straight, so it's plausible that time differences follow a normal distribution and the paired t-interval is valid.

(b)

Does it appear that the true average difference between intake values measured by the two methods is something other than zero? Determine the P-value of the test, and use it to reach a conclusion at significance level 0.05.

Calculate the test statistic and P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.)

t=P-value=

State the conclusion in the problem context.

Fail to reject H0. The data suggests that the true average difference between intake values measured by the two methods is something other than zero.Reject H0. The data suggests that the true average difference between intake values measured by the two methods is something other than zero.    Reject H0. The data does not suggest that the true average difference between intake values measured by the two methods is something other than zero.Fail to reject H0. The data does not suggest that the true average difference between intake values measured by the two methods is something other than zero.

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