Hurricane
Hall of Fame Member
Why is this because it is less skewed by not outs etc?But of course, the larger the sample, the more you should be using the mean over median.
Why is this because it is less skewed by not outs etc?But of course, the larger the sample, the more you should be using the mean over median.
Yeah, looking at it now, that makes sense. What I was probably thinking was that the more data you have the least amount of difference between median and mean. But, that would depend on the distribution of the data, wouldn't it. So that wouldn't be true either.If you're comparing quantitive data, you should nearly always use the median over the mean as it is seen as the more accurate figure.
As long as he opens up the bowling.Pick one for the next game. I'd be going for Mills personally.
but what about when he doesn't bowl well?Mills is the best bowler on the list but we're developing for the world cup so i don't mind who plays.
worst of the best poor? :PI reckon Mills has been pretty poor in the last 6 months.
If you remove all of Guptill's double-figure scores, he averages less than 10.
Na he is no longer in the best category IMO. Just a decent ODI class bowler now.worst of the best poor? :P
And can he bowl out swingers? Because if you ignore his out swingers then he can only move the ball off the seam.But what is his median?