In: Statistics and Probability
In a bumper test, three types of autos were deliberately crashed into a barrier at 5 mph, and the resulting damage (in dollars) was estimated. Five test vehicles of each type were crashed, with the results shown below. Research question: Are the mean crash damages the same for these three vehicles?
Crash Damage ($)
Goliath 1630,760,850,1960,1240
Varmint 1290,1440,1310,1860,960
Weasel 1000,2100,1800,1270,1930
Fill in the missing data. (Round your p-value to 4 decimal places, mean values to 1 decimal place, and other answers to 2 decimal places.)
Group Mean n Std. Dev Variance
Goliath - - - -
Varmint - - - -
Weasel - - - -
Total - - - -
One-Factor ANOVA
Source SS df MS F p-value
Treatment - - - - -
Error - - - - -
Total - - - - -
Following is the output of one way ANOVA analysis:
| Anova: Single Factor | ||||||
| SUMMARY | ||||||
| Groups | Count | Sum | Average | Variance | ||
| Goliath | 5 | 6440 | 1288 | 260370 | ||
| Varmint | 5 | 6860 | 1372 | 105770 | ||
| Weasel | 5 | 8100 | 1620 | 216450 | ||
| ANOVA | ||||||
| Source of Variation | SS | df | MS | F | P-value | F crit | 
| Between Groups | 297973.3 | 2 | 148986.7 | 0.767195 | 0.485798 | 3.885294 | 
| Within Groups | 2330360 | 12 | 194196.7 | |||
| Total | 2628333 | 14 | 
---------------------------------
Following is the completed table;
| Groups | Mean | n | SD | Variance | 
| Goliath | 1288.0 | 5 | 510.26 | 260370 | 
| Varmint | 1372.0 | 5 | 325.22 | 105770 | 
| Weasel | 1620.0 | 5 | 465.24 | 216450 | 
Following is ANOVA:
| ANOVA | ||||||
| Source of Variation | SS | df | MS | F | P-value | F crit | 
| Between Groups | 297973.3 | 2 | 148986.7 | 0.77 | 0.4858 | 3.89 | 
| Within Groups | 2330360 | 12 | 194196.7 | |||
| Total | 2628333 | 14 |