Statistics: Ch 9 Hypothesis Testing (11 of 35) How Does Level of Significance Affect Testing?

NOTE ERROR: 3rd example should be sqrt(100) (not sqrt(10))

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We will learn how does the sample size affect hypothesis testing? The test statistic is proportional to SQRT(sample size). A greater sample size increases the probability that the sample statistic will fall in the critical region BUT it will also reduce random variability in the mean of the sample.

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[yusufmustafa]

Another wonderful explanations
Keep going sir

[marcochimio]

Great explanation, but shouldn’t the 3rd example have the square root of 100, not the square root of 10?

[anushreeyagurung]

I think there's a typo at 2:25 where you said if the sample size = 100 -> the square root is 10 and I think it should say "the square root of 100" on the board. please let me know if ii am incorrect. Great video!

[franciscoguzman]

Hi, could you recommend some biostatistics/statistic books for beginners? Thanks for your videos, from Argentina