D doesn’t show a positive or negative correlation. D is the best answer choice.
Answer:
a =12*sqrt(2)
Step-by-step explanation:
3. The Pythagorean theorem states
a^2 + b^2 = c^2 where a and b are the legs and c is the hypotenuse
a^2 +21^2 = 27^2
a^2 +441 =729
Subtract 441 from each side
a^2 +441-441 = 729 -441
a^2 =288
Take the square root of each side
sqrt(a^2) = sqrt(288)
sqrt(xy) = sqrt(x)sqrt(y)
a = sqrt(144)sqrt(2)
a =12*sqrt(2)
Your answer is the second option, she should choose the rectangular tiles because the total cost will be $8 less.
To find this answer we need to first find the total cost for using square tiles, and the cost for using rectangular tiles, and compare them. We can do this by finding the area of each tile individually, calculating how many tiles we would need, and multiplying this by the cost for one tile:
Square tiles:
The area of one square tile is 1/2 × 1/2 = 1/4 ft. Therefore we need 40 ÷ 1/4 = 160 tiles. If each tile costs $0.45, this means the total cost will be $0.45 × 160 = $72
Rectangular tiles:
The area of one rectangular tile is 2 × 1/4 = 2/4 = 1/2 ft. Thus we need 40 ÷ 1/2 = 80 tiles. Each tile costs $0.80, so the total cost will be 80 × $0.80 = $64.
This shows us that the rectangular tiles will be cheaper by $8.
I hope this helps! Let me know if you have any questions :)
Final Answer: 
Steps/Reasons/Explanation:
Question: Solve the equation 
.
<u>Step 1</u>: Divide both sides by 
.
<u>Step 2</u>: Simplify 
to .
<u>Step 3</u>: Subtract 
from both sides.
<u>Step 4</u>: Simplify 
to 
.
<u>Step 5</u>: Divide both sides by 
.
~I hope I helped you :)~
Answer:
Expected Winnings = 2.6
Step-by-step explanation:
Since the probability of rolling a 1 is 0.22 and the probability of rolling either a 1 or a 2 is 0.42, the probability of rolling only a 2 can be determined as:
The same logic can be applied to find the probability of rolling a 3
The sum of all probabilities must equal 1.00, so the probability of rolling a 4 is:
The expected winnings (EW) is found by adding the product of each value by its likelihood:
Expected Winnings = 2.6
