Answer:
2 5/6
Step-by-step explanation:
2 2/4 + 1/3
First, you have to make the bottoms of the fraction the same, by figuring out the lowest common denominator. In this case it would be 12. 4x3 = 12. 3x4 = 12.
Multiply the top number by the same number you multiplied the bottom by.
We multiplied the 4 by 3, so we would also multiply the 2 by 3 (which would be 6).
Do the same for the second fraction. 1x4 = 4.
Now we have 2 6/12 + 4/12. We add the top numbers together and we get 10/12.
Now we have to reduce the fractions. We can do this in this situation by just dividing the top and bottom numbers by 2.
2 5/6
Answer:
31 9/10
Step-by-step explanation:
if u want to find out how many pounds u lose u subtract 230 1/2 by 198 3/5
230 5/10 minus 198 6/10
31 9/10
hope this ehlps
Answer:
The answer SHOULD be 7/8=224/x;256 pounds.
You may have made a mistake in inputting it here on Brainly. So look for the one that matches that.
Step-by-step explanation:
This is what we know:
Jasper = 224 pounds
Balin = x
Jasper = 7/8 of x
Now we make an equation for that:
To match the selections we will isolate 7/8 on one side of the equation:
Using ratio and proportion we can solve for what x is. Multiply 224 by 8 and divide it by 7. Or you can do it this way too:
So x = 256 pounds
In the given situation, the ratio of the perimeters of two rectangles is 4 to 7. The perimeter of the larger rectangle is 42 inches.Now, let's find the perimeter of the smaller.Let's solve for the answerRatio and formula:=> 4 : 7 = X = 42, where x is the unknown perimeter of the smaller rectangle=> 4 * 42 = 168 / 7 = 24Thus the answer is letter D. 24 inches is the parameter of smaller rectangle.<span>
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Answer:
probability that a randomly selected page that contains only text will contain no typos that is
P(x=0) = = 0.923
Step-by-step explanation:
<u>Poisson distribution</u>:-
Explanation of the Poisson distribution :-
The Poisson distribution can be derived as a limiting case of the binomial
distribution under the conditions that
i) p is very small
ii) n is very large
ii) λ = np (say finite
The probability of 'r' successes =
Given the average number of typos ∝ = 0.08 per page.
probability that a randomly selected page that contains only text will contain no typos that is =
After calculation P(x=0) = = 0.923
probability that a randomly selected page that contains only text will contain no typos =0.923