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 1740 1098 1198 1479 1281 1414 1934 2174 2058 TW method 1498 1254 1326 1565 2000 1318 1410 1129 1342 1144 1468 1604 1722 1528 Difference 11 164 235 −9 169 422 −312 69 137 137 −54 330 452 530 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 one decimal place and your P-value to three decimal places.)

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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 1740 1098 1198 1479 1281 1414 1934 2174 2058
TW method 1498 1254 1326 1565 2000 1318 1410 1129 1342 1144 1468 1604 1722 1528
Difference
11
164
235
−9
169
422
−312
69
137
137
−54
330
452
530
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 one decimal place and your P-value to three decimal places.)
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