Answer:
yes
Step-by-step explanation:
yes they are equivalent because when you reduce them they both equaly 1/2
Answer:
Induction
Step-by-step explanation:
Induction reasoning refers to conjectures which is what you will need for this
Answer:
Standard Error is increased.
Step-by-step explanation:
Type 2 error is failure to reject a false null hypothesis. This is a 'false negative' result of hypothesis testing, represented by beta 'β'.
Power of test is 1 - β, which shows probability of accurately stating a null hypothesis false, when it is actually false.
Increased sample size increases the power of test accuracy, hence reduces type 2 error. Increased level of significance implies higher probability of rejecting a true null hypothesis, ie type 1 (false positive) error. So, it decreases type 2 error.
Standard Error increase implies lower level of t statistic , ie = (x - u) / (s / √ n) Lower the t value, higher is the probability of not rejecting null hypothesis, which implies higher chance of type 2 error.
