Q. 1 A researcher wishes to see if the average length of the major rivers in the United States is the same as the average length of the major rivers in Europe. The data (in miles) of a random sample of rivers are shown. At α = 0.01, is there enough evidence to reject the claim? Assume σ1 = 450 and σ2 = 474. (Marks = 6)
USA |
Europe |
USA |
Europe |
||||||||
729 |
560 |
434 |
481 |
724 |
820 |
1243 |
605 |
360 |
447 |
567 |
252 |
329 |
332 |
360 |
532 |
357 |
505 |
525 |
926 |
722 |
824 |
932 |
600 |
450 |
2315 |
865 |
1776 |
1122 |
496 |
850 |
310 |
430 |
634 |
1124 |
1575 |
330 |
410 |
1036 |
1224 |
634 |
230 |
532 |
375 |
1979 |
565 |
405 |
2290 |
329 |
800 |
447 |
1420 |
326 |
626 |
710 |
545 |
259 |
675 |
454 |
|
600 |
1310 |
652 |
877 |
580 |
210 |
300 |
479 |
425 |
The hypothesis being tested is:
H0: µ1 = µ2
H1: µ1 ≠ µ2
USA | Europe | |
682.6666667 | 810.2857143 | mean |
450 | 474 | std. dev. |
18 | 14 | n |
-127.6190476 | difference (USA - Europe) | |
165.2219287 | standard error of difference | |
0 | hypothesized difference | |
-0.77 | z | |
.4399 | p-value (two-tailed) |
The p-value is 0.4399.
Since the p-value (0.4399) is greater than the significance level (0.01), we fail to reject the null hypothesis.
Therefore, we can conclude that the average length of the major rivers in the United States is the same as the average length of the major rivers in Europe.
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