Why the sample of 200 startups from silicon valley is considered random?
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can you explain why the last answer is the right one but not the first option???
Is it a must that the population sample has to be normally distributed to work with student T dist?
If we know stdev from the sample and they're different, how do we assume variances are equal?
Resolved: why do you need to divide standard deviation of sampling means by sqrt of sample size?
Why the way of calculating STD error and STD error of difference is different?