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Hunter-Best [27]
3 years ago
7

What’s 56/4 simplified to

Mathematics
2 answers:
lisabon 2012 [21]3 years ago
6 0

56 divided by 4 would be 14

denis-greek [22]3 years ago
4 0


56 divided by 4 is 14
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List multiples of <img src="https://tex.z-dn.net/?f=%5Cfrac%7B5%7D%7B8%7D" id="TexFormula1" title="\frac{5}{8}" alt="\frac{5}{8}
Mila [183]

Answer:

5/8

                 10/8 = 1 2/8 = 1 1/4

                 15/8 = 1 7/8

                 20/8 = 2 4/8 = 2/1/2

Step-by-step explanation:

 DO NOT multiply both the numerator and the denominator by the same value.

6 0
2 years ago
Find the most general antiderivative of the function. (Check your answer by differentiation. Use C for the constant of the antid
Kisachek [45]

Answer:

35x - \frac{9x^2}{2} + C

Step-by-step explanation:

The antiderivative of the function is the same as the integral. To find the integral or antiderivative, reverse the process of differentiation method. Currently the function has degree 1. Through integration we increase the degree of each term by 1 and divide by the degree.

Thus 35 - 9x becomes 35x - \frac{9x^2}{2} + C. We add a constant C for any possible constant that was eliminated during differentiation.

4 0
3 years ago
Translate into algebraic terms...7 less than 5 times a number
Nutka1998 [239]

Answer: 5x-7


Step-by-step explanation:


5 0
3 years ago
A pathologist knows that 14.9% of all deaths are attributable to myocardial infarctions (a type of heart disease). (Either you h
garik1379 [7]

Answer:

a) The mean number is 745 and the standard deviation is 25.18.

b) 896 deaths is a significantly high number, which means that there is cause for concern.

Step-by-step explanation:

For each death, there are only two possible outcomes. Either it is attributable to myocardial infarctions, or it is not. The probability of a death being attributable to myocardial infarctions is independent of other deaths. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

A value X is significantly high is:

X > E(X) + 2\sqrt{V(X)}

In this problem:

p = 0.149, n = 5000

a. Find the mean and standard deviation for the number of such deaths that will occur in typical region with 5000 deaths.

E(X) = np = 5000*0.149 = 745

\sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{5000*0.149*0.851} = 25.18

The mean number is 745 and the standard deviation is 25.18.

b. In one region, 5000 death certificates are examined, and it is found that 896 deaths were attributable to myocardial infarction. Is there cause for concern? Why or why not?

Is 896 a significantly high number?

E(X) + 2\sqrt{V(X)} = 745 + 2*25.18 = 795.36

895 > 795.36

896 deaths is a significantly high number, which means that there is cause for concern.

6 0
3 years ago
3/6z = 8 what is the answer
BARSIC [14]

Answer:

Z equals 16. Hope this helps!

5 0
3 years ago
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