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 | Varmint | Weasel |
1,600 | 1,250 | 1,050 |
790 | 1,420 | 2,160 |
870 | 1,300 | 1,850 |
1,960 | 1,810 | 1,250 |
1,220 | 980 | 1,910 |
Click here for the Excel Data File
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 | Not attempted | Not attempted | Not attempted | Not attempted |
Varmint | Not attempted | Not attempted | Not attempted | Not attempted |
Weasel | Not attempted | Not attempted | Not attempted | Not attempted |
Total | Not attempted | Not attempted | Not attempted | |
One-Factor ANOVA | |||||
Source | SS | df | MS | F | p-value |
Treatment | Not attempted | Not attempted | Not attempted | Not attempted | Not attempted |
Error | Not attempted | Not attempted | Not attempted | ||
Total | Not attempted | Not attempted | |||
Calculate the value of Hcalc. (Round
your answer to 2 decimal places.)
Hcalc
Applying one way ANOVA on above data:
Group | Mean | n | Std. Dev | Variance |
Goliath | 1288.0 | 5 | 494.03 | 244070 |
Varmint | 1352.0 | 5 | 302.44 | 91470 |
Weasel | 1644.0 | 5 | 471.04 | 221880 |
Total | 1428.0 | 15 | 430.10 |
Source | SS | df | MS | F | p-value |
Treatment | 360160.00 | 2 | 180080.00 | 0.97 | 0.4072 |
Error | 2229680.00 | 12 | 185806.67 | ||
Total | 2589840.00 | 14 |
Hcalc = highest variance / lowest variance
= 244070 / 91470 =2.668 2.67
Hcalc = 2.67
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