Question

In: Statistics and Probability

Medical examiners use temperatures of dead bodies to estimate time of death. This is especially important...

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.)

Solutions

Expert Solution

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


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