Which of the following distributions is the least likely to fit a normal distribution? Distribution of the heights of professional soccer players Distribution of the weights of salmon in the Pacific Ocean Distribution of test scores among those who took the SAT in 1998. Distribution of the ages of automobiles in driveable condition. Distribution of the points scored by a basketball player per game.
A normal distribution is basically a perfect bell curve 50 percent on left 50 percent on right and the max at the middle. (The G spot ;) ) For this I'd have to say the first one has the most normal distribution. The reason is because soccer players neither have to be tall nor' short in order to be good but there are always the select few who are either taller or shorter than the others but overall they're all about the same.
do u disagree with the first guys epxlanation?
Whoops least likely was the question, let me start again hehe
i think the first person is saying, that soccer player heights is more like a 'uniform' distribution, rather than a bell curve distribution
heights will most likely follow a bell curve
right, because it is symmetric about the mean
and we don't have too many 'outliers'
so its between the last two choices
i think it could be the automobile, since you have a lot of 'vintage' cars, people keep them in good condition past normal driving age
so its not symmetric about the mean, there are many outliers
I'll have to go with the distribution of ages of driveable automobiles because not all vintage cars get repaired an driven again most of them just get dumped, but a good number of them also get refurbished etc.
Yeah the average age of cars on the road is about 11 years http://www.autonews.com/article/20130806/RETAIL/130809922/average-age-of-u.s.-car-light-truck-on-road-hits-record-11.4-years However, you have very far outliers (example: cars from 1960), but not too many of them. So you have a long tail pulled to the right.
well all cars are driveable when they are 0 years old (when they are assembled in factory)
|dw:1416115895957:dw|
Join our real-time social learning platform and learn together with your friends!