In statistics, when the null hypothesis is accepted, it is likely that: Neither (A) nor (B) has Occurred A correct Decision has been Made A Type-I Error has been Made Both (A) and (B) have Occurred
Null Hypothesis - (in the statistical testing of a hypothesis) the hypothesis to be tested. (After wasting time on a several of videos that bring in everything from the speed of light to long equations, I looked in a dictionary.)
This made so much sense!! Thank you for that great analogy!
Thanks Robin!
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Thanks for your video :) really explained things well and helped me out :)
In statistics, when the null hypothesis is accepted, it is likely that:
Neither (A) nor (B) has Occurred
A correct Decision has been Made
A Type-I Error has been Made
Both (A) and (B) have Occurred
What does it mean when we say that any hypothesis is always tested against the null hypothesis ?
Thanks a bunch !
Null Hypothesis - (in the statistical testing of a hypothesis) the hypothesis to be tested.
(After wasting time on a several of videos that bring in everything from the speed of light to long equations, I looked in a dictionary.)
It was helpful. Thanks a lot...!
Kevin Brown: So we "Fail to reject" the null - yes?