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 |