Torah:
Again, we are discussing that you flipped one quarter 10 times and got 10 heads.
The calculation is this:
p-hat minus p
divided by
square root of (p*1-p) / square root of sample size
Where, p hat is the sample mean and p is the population mean.
So,
p-hat is 1, and p is .5
square root of (.5*.5)=.5
divided by square root of 10 = 0.15811388300841896659994467722164
Now, I subtract p from p-hat and get .5
.5/0.15811388300841896659994467722164 = 3.1622776601683793319988935444326
Then I google a handy dandy z table and find that the value for z score of 3.16 is .4992, which means that half a percent of results on a normal distribution lie to the left of z score 3.16, which means that there is a 1/100 chance of getting a result this far off the mean if you pick results at random from the distribution.
So where do you disagree?