Answer:
Step-by-step explanation:
In statistical hypothesis testing we use p values. For any test we select significance level alpha as 5% or 1% or 10%
Whenever p < alpha we reject our null hypothesis. Otherwise we accept our null hypothesis.
Hence p should be high to accept null hypothesis
Option A is incorrect
B is correct
C is wrong as p is the probability
D False
Option B is right.
Say your test is out of 100 and you 75 correct to calculate your percent you would go
75/100*100
/ = Divide
* = Times
Picture? I cant answer when there us no picture?
