Bill and Sarah both have single sample data--Bill has n=4 measurements in his data set, and Sarah has n=28 in hers. Both mistakenly conduct single sample t-tests rather than z-tests. For whom is this situation more problematic (ie: for whom will the results be less accurate), and why? Describe in terms of the z and t distributions
In terms of Z score both shoudl be accurate as standard error can be taken care by the no. of the sample size.
However, in terms of t test, one need to idetify the degree of freedom and based ont this, critical t value can be caluculated
As no. of the sample size increased, t distribution converges to the z distribution.
So in terms of sample size, n=28 would have more identical z distiribuuiton if we measure the t distribuiton.
based on this,sarah has more accurate result than the bill has.
So for Bill has the situtaion more probalemtic than Sarah.
As if we take n =25-30, t distribution and z distribuiton are same.
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