In: Statistics and Probability
Medical examiners use temperatures of dead bodies to estimate time of death. This is especially important if a crime is suspected. Could the body be reheated to disguise the time of death? A biologist tested this issue in 1951 using mice. He studied the difference (reheated – freshly killed) in the cooling constants of each of the mice.
11) Why is this a paired differences study?
12) Write the hypotheses.
13) Fill in the third column and enter that into your calculator.
Freshly Killed |
Reheated |
Difference |
573 |
481 |
|
482 |
343 |
|
377 |
383 |
|
390 |
380 |
|
535 |
454 |
|
414 |
425 |
|
438 |
393 |
|
410 |
435 |
|
418 |
422 |
|
368 |
346 |
|
445 |
443 |
|
383 |
342 |
|
391 |
378 |
|
410 |
402 |
|
433 |
400 |
|
405 |
360 |
|
340 |
373 |
|
328 |
373 |
|
400 |
412 |
[a] Using a 99% confidence interval for the mean difference in cooling constants, determine if there is significant evidence that reheating the bodies changes the cooling constant. (Remember that you just have one sample. Choose the Data option.)
[b] Calculate the P-value. Does a conclusion from the P-value strengthen or call into question your conclusion from the confidence interval? Explain. (Think about what you will use asthe “unusual sample” threshold.)
11) Why is this a paired differences study?
beacsuse sample remains same
12) Write the hypotheses.
Freshly Killed | Reheated | Difference |
573 | 481 | 92 |
482 | 343 | 139 |
377 | 383 | -6 |
390 | 380 | 10 |
535 | 454 | 81 |
414 | 425 | -11 |
438 | 393 | 45 |
410 | 435 | -25 |
418 | 422 | -4 |
368 | 346 | 22 |
445 | 443 | 2 |
383 | 342 | 41 |
391 | 378 | 13 |
410 | 402 | 8 |
433 | 400 | 33 |
405 | 360 | 45 |
340 | 373 | -33 |
328 | 373 | -45 |
400 | 412 | -12 |
a)
Paired T-Test and CI: Freshly Killed, Reheated
Paired T for Freshly Killed - Reheated
N Mean StDev SE Mean
Freshly Killed 19 417.9 60.0
13.8
Reheated 19
397.1 39.1 9.0
Difference 19
20.8 45.8 10.5
99% CI for mean difference: (-9.5, 51.1)
since 0 is present in confidence interval , we fail to reject the null hypothesis
T-Test of mean difference = 0 (vs ? 0): T-Value = 1.98 P-Value = 0.064
b)
p-value = 0.064 > 0.01
hence we fail to reject the null