Answer: none of the above
Step-by-step explanation: when performing an hypothesis test and we want to make conclusion by comparing the p-value with the level of significance α
When p is greater than α, we reject the null hypothesis because it simply implies that we have a larger chance to commit a type 1 error ( α is the probability of committing a type 1 error an error where we reject the null hypothesis instead of accepting it ) which means we reject the null hypothesis.
When p is lesser than level of significance α, it means that we have a lesser chance of committing a type 1 error, which means we accept the null hypothesis.
Whats the problem for this?
Answer:
75%
Step-by-step explanation:
1 = 10%
2 = 25%
3 = 50%
4 = 75%
5 = 100%
Answer:
I believe it would be A hope this helps!
Step-by-step explanation:
