BIOSTATS:::"SAMPLING ERROR"--

can be classified as----

1)alpha-error
2)beta-error
3)gamma-error
4)delta error

I'm writing this from Bhatia notes ( given by Dr Bhatia himself)

NULL HYPOTHESIS- Hypothesis of no difference. (ie. the difference betweenthe two study is by chance)

Rejection of a true null hypothesis---- TYPE 1 ERROR ( alpha error)
you think there is a difference when there is not.

Acceptance of a false null hypothesis--- TYPE 2 ERROR ( beta error)
you think there is no difference between the two groups when actually there is.
( to remember- Beta error= Blindness to the difference)

p value- Critical level of commiting type 1 error.

power of study--- 1- beta error

SAMPLING ERROR--- alpha error.
alpha error is most dangerous..

1/Sampling error = PRICISION.

ans is alpha error