statistics 10
(a). Explain type I error and type II error in hypothesis.
b) Test the hypothesis using
If n=300; x = 75; α= 0.01
left to right problem
Solution:-
A)
Type 1 Error:-
In statistical testing hypothesis a type 1 error is the rejection of a true null hypothesis.
Thta is reject when is true.
Type 2 Error:-
In statistical hypothesis testing a type 2 error is the accept of a false null hypothesis.
That is
Accept when is false.
B)
To test:
:P=0.6 Verses H1:P>0.6
n=300, and x=75,, and
The test statistic is :
Where S.E is
Under
Here
Therefore we may failed to reject .
statistics 10 (a). Explain type I error and type II error in hypothesis. b) Test the...
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