30. Listed below are head injury data from crash test dummies. These measurements are in hic, which denotes a standard head injury criterion. The TI-84 Plus display presents the results of a one-way ANOVA to determine whether different car categories have the same mean. Head Injury in a Car Crash (hic) Small Cars 290 406 371 544 374 501 376 499 479 475 Medium Cars 245 502 474 505 393 264 368 510 296 349 Large Cars 342 216 335 698 216 169 608 432 510 332 (a) Is the design balanced? Why or why not? (b) ConstructanANOVAtable. (c) Can you conclude that the different car categories have the same mean? Use the 0.05 level of significance. (you do not need to show all the steps of the hypothesis test, but explain your decision.)
30. Listed below are head injury data from crash test dummies. These measurements are in hic, which denotes a standard head injury criterion. The TI-84 Plus display presents the results of a one-way ANOVA to determine whether different car categories have the same mean.
Head Injury in a Car Crash (hic) |
||||||||||
Small Cars |
290 |
406 |
371 |
544 |
374 |
501 |
376 |
499 |
479 |
475 |
Medium Cars |
245 |
502 |
474 |
505 |
393 |
264 |
368 |
510 |
296 |
349 |
Large Cars |
342 |
216 |
335 |
698 |
216 |
169 |
608 |
432 |
510 |
332 |
(a) Is the design balanced? Why or why not?
(b) ConstructanANOVAtable.
(c) Can you conclude that the different car categories have the same mean? Use the 0.05 level of significance. (you do not need to show all the steps of the hypothesis test, but explain your decision.)
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