@kropot72 Can you explain to me when you would use the t distribution over the Z distribution
you use the t distribution when your sample size is low, or you don't know the population standard deviation
theres a nice flow chart
Are there any other instances
K link me I get confused sooo often
Im always doubting myself cuz the t-distribution gives me awful confidence intervals
you can think of the z distribution is the same as the t distribution, but with many degrees of freedom
the z distribution is the limit of the t distribution as d.f. -> oo
and degrees of freedom is 1 less than your sample size
Aye nice
let me see if i can find a rule chart
So just to confirm whenever n is less than 30 then i wld use t-distribution?
this is a good FAQ about student t distribution https://stat.duke.edu/courses/Fall98/sta110b/tfaq.html
according to this, you must always use t distribution when the st. dev. of the population is unknown. in most practical examples the population st. dev is unknown , and you approximate it by the sample st. dev. but when n is greater than 30, the t distribution is very close to the z distribution, so can just use z score
this is good too http://pages.uoregon.edu/aarong/teaching/G4074_Outline/node23.html
thats actually better
A t-distribution looks similar to the standard normal distribution except that it has fatter tails and a smaller peak. This difference reflects the higher degree of uncertainty.
As the degrees of freedom increase (the sample size increases), our t-distribution looks more and more like the standard normal.
so here is a way to remember it. when you s instead of greek letter s , then you must use t instead of z
Lol bookmarked them :) Thanksssss
Im always solving stat questions and I cldnt remember from back in the day what the rule was and It kept bugging me
K you explained it clearly. Thanks
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