SOMEONE EXPLAIN CONFIDENCE INTERVALS TO ME PLEASE
Okay so in non-mathematical terms, you have done your sample and you've found for instance, 4 out of the 20 year 12 students in Victoria (so 0.2 as a proportion which would be your p-hat) in the sample do methods. Now, as this is a sample, it's not fully representative of the population therefore there is a chance that in reality, more than or less that 20% of year 12 students do methods. So a confidence interval is a range based on the collected data which you're 95% sure the
real p value lies in.
As you probably know about the 68/95/99.7 rule I'm not gonna go into it but pretty much a 95% confidence interval is ±1.96 standard deviations away from the mean.
Mathematically, this is done by as follows
(p̂ - 1.96√(p̂q̂/n), p̂ + 1.96√(p̂q̂/n))
Where p̂ - the sample proportion
q̂ - (1 - p̂)
n - sample size
√(p̂q̂/n) - the standard deviation
In the situation I had above,
as p̂ = 0.2, the sd = √(0.2 x 0.8 / 20) = 0.0894427191
Therefore,
(0.2 - 1.96√(0.2 x 0.8/20), 0.2 + 1.96√(0.2 x 0.8/20))
(0.1105572809, 0.2894427191) is your confidence 95% interval, meaning you are 95% sure that the population parameter is between these two values.
If you want it in term of x, just multiply everything by 20 once finished.
I hope that helps