A treadmill manufacturer has developed a new machine with softer tread and better fans than its current model. The manufacturer believes these new features will enable runners to run for longer times than they can on its current machines. To determine whether the desired result is achieved, the manufacturer randomly sampled 35 runners. Each runner was measured for one week on the current machine and for one week on the new machine. The weekly total number of minutes for each runner on the two types of machines was collected. The results are contained in the file . At the 0.02 level of significance, can the treadmill manufacturer conclude that the new machine has the desired result? Treadmill.xlsx
a. Specify the population parameter(s) of interest (proportion or mean):
b. Formulate the null (H0) and alternate (HA) hypotheses:
c. Specify the level of significance (alpha, a, probability of a Type I error):
d. What is/are the critical value(s)?
e. What is/are the value(s) of the test statistic?
f. Based on your graph, do you reject H0 or do not reject H0? Explain
g. To validate your results, we’ll also check our p-value. What is the p-value?
h. Based on your p-value, do you reject H0 or do not reject H0? Explain
i. State your summary statement of the conclusion in non-technical terms.
Runner | Current | New |
1 | 302 | 404 |
2 | 289 | 494 |
3 | 380 | 251 |
4 | 438 | 343 |
5 | 342 | 402 |
6 | 447 | 362 |
7 | 330 | 363 |
8 | 286 | 533 |
9 | 252 | 187 |
10 | 421 | 397 |
11 | 307 | 387 |
12 | 444 | 251 |
13 | 369 | 244 |
14 | 336 | 208 |
15 | 206 | 276 |
16 | 450 | 430 |
17 | 252 | 402 |
18 | 280 | 406 |
19 | 473 | 548 |
20 | 432 | 531 |
21 | 239 | 389 |
22 | 350 | 293 |
23 | 185 | 256 |
24 | 371 | 513 |
25 | 233 | 308 |
26 | 536 | 217 |
27 | 238 | 499 |
28 | 306 | 284 |
29 | 187 | 257 |
30 | 484 | 501 |
31 | 431 | 449 |
32 | 524 | 442 |
33 | 412 | 411 |
34 | 460 | 451 |
35 | 287 | 371 |
Please do appreciate if the solution is satisfactory. Thankyou!!!
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