Answer:
associative property
Step-by-step explanation:
Answer:
578 + 48 square inches
Step-by-step explanation:
The computation of the area of the purple band is as follows:
Area of the green square = side^2 = x^ square inches
And, the area of the orange square = side^2
The side would be = = 12 + 12 +x = 24 + x
And, now the area would be = (x + 24)^2
Now the area of the orange band is
= Area of the orange square area of the green square
= (x + 24)^2 - x^2
= x^2 + 24^2 + 48 - x^2
= 578 + 48 square inches
Answer:A. The theoretical probability for pink is 95/185 or about 51.35%
B. The theoretical probability for brown is 90/185 or about 47.82%.
C. To find the experimental probability, we will make another fraction. The number of outcomes will be the numerator and the total will be the denominator.
Pink 36/69 = 52.17%
Brown 33/69 = 47.82%
Step-by-step explanation:
Answer:
(4.25, - 1.75)
Step-by-step explanation:
Under a reflection in the y- axis
a point (x, y ) → (- x, y ), thus
(- 4.25, - 1.75 ) → (4.25, - 1.75 ) ← original point
Answer:
If we reject the null hypothesis based on the evidence, then our conclusion should be Option c.
If we do not reject the null hypothesis based on the evidence, then our conclusion should be Option a.
Step-by-step explanation:
We are given that the FDA wants to set up a hypothesis test to show that the new drug is safe before approving it by assuming it to be unsafe.
So, Null hypothesis,
= New drug is unsafe
Alternate Hypothesis,
= New drug is safe
<em>Now, if we reject the null hypothesis based on the evidence, then our conclusion should be that : </em>
There is sufficient evidence to believe that the new drug is safe because rejecting null hypothesis means that alternate hypothesis is accepted with required evidence.
<em>And If we do not reject the null hypothesis based on the evidence, then our conclusion should be that : </em>
There is insufficient evidence to believe that the new drug is safe because not rejecting null hypothesis means that we are not ready with enough evidence to assume that new drug is safe.