just remember to make h0 and h1 with p and not mean when its normal approximation hypothesis testing, because reg hypothesis testing w binomials uses p not mean as well, only reg hypothesis testing w normal distribution is mean
I think that’s for when there’s a sample with the normal distribution. This is just approximating from a binomial to normal distribution. I may be wrong though Edit: looking back at this now that a levels are over I don’t understand anything I wrote 😂
binomials have probabilities and n- if question says something like there is a 54% chance of phones to heat up and there are like 50 phones as the sample. n = 50 and p = 0.54
my goat got a skinfade chzzzzz
loving these videos, really saving my stats for tuesday !! will you be doing a video on standardising the normal distribution/ coding?
he did it already
Your videos have been very helpful to me, thank you Zeeshan.
if you were null hypothesis, I would accept you
😭😭
Amazing video, really helpful
Clutch before my stats exam loveeee
so when are you meant to convert the binomial distribution into the Y~N? like how do you know if you're meant to do that?
I'm guessing I you see the words approximation
what's the difference between this topic of normal approximation and the binomial approximation?
Legend
Happy birthday Callum Edward brooks
Idk if this sounds dumb but how do you know to make the H0 and H1 with p and not mean. is it because the data in the first question is binomial.
just remember to make h0 and h1 with p and not mean when its normal approximation hypothesis testing, because reg hypothesis testing w binomials uses p not mean as well, only reg hypothesis testing w normal distribution is mean
Why don't we use rt(variance)^2/mean of X for the standard deviation
I think that’s for when there’s a sample with the normal distribution. This is just approximating from a binomial to normal distribution. I may be wrong though
Edit: looking back at this now that a levels are over I don’t understand anything I wrote 😂
@@karinac2541 cheers mate I've been so confused by this
@@voltaireisamadlad7007 no problem
@@karinac2541 No you are right
yes
How do you know given the information in the questions that it is originally a binomial distribution?
binomials have probabilities and n- if question says something like there is a 54% chance of phones to heat up and there are like 50 phones as the sample. n = 50 and p = 0.54
🐐
so do we always take lower bound when we do the continuity correction?
depends if it’s > or, > or equal to
@@saiykoz if its = to, do you have to change anything
@@リオ利緒 yeah