KneesUp
Guru
Your example isn't an unbiased sample if you select 9 from one side of the mean and 1 from the other, because in the general population there are the same number on each side.See example above.
Your example isn't an unbiased sample if you select 9 from one side of the mean and 1 from the other, because in the general population there are the same number on each side.See example above.
Even if you took 10 people at random off the street?Your example isn't an unbiased sample if you select 9 from one side of the mean and 1 from the other, because in the general population there are the same number on each side.
I keep a spare, does that count?The vast majority of the population in the UK have more than the average number of legs.
The vast majority of the population in the UK have more than the average number of legs.
If you select lots of groups of 10 people at random (easier said than done) you will, on average, get 5 above average and 5 below average per group of 10 and it will get closer and close to a 50:50 split the more groups of 10 you randomly select - but if you just select 10 people, it's pretty unlikely it will be a representative sample of the population as a whole.Even if you took 10 people at random off the street?
I know the size of the sample influences the distribution more evenly across the curve, but surely the chances of getting exactly 50% of the sample above, or below, the average must be pretty slim?
In the real world, might it not end up with, for example, slightly less than half the population being below average IQ?
I've no real expertise in statistical analysis - I just find it an interesting diversion.
The number of legs is not a normal (bell-curve) distribution, hence the mean, median and mode are not the same, so you need to define what you mean by average [ / pedant ]The vast majority of the population in the UK have more than the average number of legs.
Yes I agree, it will get closer and closer to a 50:50 split; but will it ever get to an exact equilibrium? This could only ever happen if the sample size was an even number, and even then the probabilty of the split being exactly 50:50 would not be assured.If you select lots of groups of 10 people at random (easier said than done) you will, on average, get 5 above average and 5 below average per group of 10 and it will get closer and close to a 50:50 split the more groups of 10 you randomly select - but if you just select 10 people, it's pretty unlikely it will be a representative sample of the population as a whole.