Answer:
Margin of Error decreases
Pvalue decreases
Power increases
Step-by-step explanation:
The margin of error decreases as sample size increases given the same level of confidence, hence, the interval gets narrower.
The margin of error = (Zcritical * σ/√n) ; where, n is the denominator, as the denomination increases, the obtained value will decrease, hence, the margin of error.
When we have a false H0, then we expect a statistical result which will reject H0, with all facts remaining unchanged , increase in sample size n, will lead to decrease in Pvalue, because a lower P value increases the significance of statistical test needed to reject H0.
The power of a fixed level test when the null hypothesis is true, higher power is required to reject the null , increasing n will increase the probability of rejecting H0, by increasing the power of a fixed level test.
6: A
7: 24 quarts
8: 78.9kg
Answer:
Step-by-step explanation:
Hi,
We know that
P(A or B)=P(A)+P(B)-P(A and B)
so P(B)= P(A or B) - P(A) + P(A and B)
so
P(B) = 0.5 - 0.4 + 0.2 = 0.3
thanks
Answer:
x=0
Step-by-step explanation:
Step 1: Simplify both sides of the equation.
2x+5=−2x+5
Step 2: Add 2x to both sides.
2x+5+2x=−2x+5+2x
Step 3: Subtract 5 from both sides.
4x+5−5=5−5
4x=0
Step 4: Divide both sides by 4.
4x/4=0/4
X=0
