Question

In: Statistics and Probability

The head injury data are shown in the following table. Subcompact: 681 428 917 898 420...

The head injury data are shown in the following table.

Subcompact: 681 428 917 898 420

Compact: 643 655 442 514 525

Midsize: 469 727 525 454 259

Full-size: 384 656 602 687 360

Table 5: Head Injury & Car Crash

At α = 0.05 level of significance, test the claim that different weight categories have the same mean by using the data in table 5.

(a) Clearly state H0 and H1.

H0 :

H1 :

(b) Find all related critical values, draw the distribution, clearly mark and shade the critical region(s). Give the name of the program you used for this step as well as any degrees of freedom. Drawing & Shading Required.

(c) Find the computed test statistic, and the P-value.

C.T.S. :

P-Value :

(d) Use non-statistical terminology to state your final conclusion.

Solutions

Expert Solution

Subcompact Compact Midsize Fullsize
681 643 469 384
428 655 727 656
917 442 525 602
898 514 454 687
420 525 259 360

(a)

(a) H0: There is no difference between the treatment means; that is, μ1 = μ2 = μ3 = μ4
H1: At least one among μ1, μ2, μ3 and μ4 is different from the other three

(b) Df (Treatment) = 3, Df (Error) = 16, α = 0.05, Critical F score = 3.2389

(c) ANOVA

SUMMARY
Groups Count Sum Average Variance
Subcompact 5 3344 668.8 58542.7
Compact 5 2779 555.8 8272.7
Midsize 5 2434 486.8 28110.2
Fullsize 5 2689 537.8 23905.2
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 88425 3 29475 0.992167 0.42157 3.238872
Within Groups 475323.2 16 29707.7
Total 563748.2 19

Test F- score = 0.9922, p- value = 0.4216

Since the p- value > 0.05, we fail to reject Ho

There is no sufficient evidence that the four groups have significantly different means.

[I have used Excel for the ANOVA table and STATDISK to get the plot]


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