The answer would actually be A because if you make 3 1/4 a mixed number you would get 13/4 which equals 3.25. Now divide 3.25 by 4 because you will dividing these pizzas to 4 people. This gives me 0.8125. Then I would multiply 1/4 to 3.3125 which gives me 0.203125 and when you make this to an improper fraction it will come out to be 13/64 which is choice A. I hope this helps you! I am also sorry for what happened yesterday.
Answer:
B
Step-by-step explanation:
Given
y² - 12y + 32
Consider the factors of the constant term (+ 32) which sum to give the coefficient of the y- term (- 12)
The factors are - 4 and - 8, since
- 4 × - 8 = 32 and - 4 - 8 = - 12, thus
y² - 12y + 32 = (y - 4)(y - 8) → B
√196s² = √196 times √s²
s² is the square of 's'
196 is the square of 14
So both can easily come out of the radical.
√196s² = <u>14s</u>
Difference of two squares is of the form (a + b)(a - b) or vice-versa. Here, a = -5x and b = 3.
(-5x - 3)(-5x + 3)
Answer: 3
Answer:
Yes. The male and female consumers differ in the amounts they spend.
Step-by-step explanation:
We can express the null and alternative hypothesis as:

It is assumed a significance level of 0.05.
The standard deviation of the difference of means is calculated as:

The test statistic is

The degrees of freedom are:

The P-value for t=10.11 is P=0, so it is smaller than the significance level. The null hypothesis is rejected.
We can conclude that male and female consumers differ in the amounts they spend.