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4 years ago

What is the answer to 19+x/2=4?

Mathematics

1 answer:

salantis [7]4 years ago

8 0

19+x/2=4
multiply 2 on both sides
19+x=4 times 2
19+x=8
subtract 19 on each side
x=8-19
subtract
x=-11

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Here are two sums.

max2010maxim [7]

Answer:

6/7 - 1/3

Step-by-step explanation:

You know that 1/2=0,5

Then, you have to solve the two sums:

$2/15+1/3=((2*3)+(15*1))/(15*3)=(6+15)/45=21/45=0,4666=0,47$

$6/7-1/3=((6*3)-(7*1))/(7*3)=(18-7)/21=11/21=0,5238=0,52$

You now know what number of 0,47 and 0,52 is closer to 0,5; which is 0,52

0,47 is to 0,03 from 0,5

0,52 is to 0,02 from 0,5

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3 years ago

Read 2 more answers

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Step one: 200-87.96=112.04

Step two: 112.04÷30≈3.7

Step three: 3.7↔3

Answer: Staci can buy 3 shirts

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3 years ago

Which of the following is a solution to the equation y=3x - 1?

Jlenok [28]

The answers are the following
1. B
2. A
3. B
4. A

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3 years ago

Is the graph below misleading? If so, choose the best reason why. Gender Breakdown of survey results

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The graph is a circle graph and it shows 15% declined to answer, 45% Men and 40% Women
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4 years ago

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A research team at Cornell University conducted a study showing that approximately 10% of all businessmen who wear ties wear the

LenKa [72]

Answer:

a) The probability that at least 5 ties are too tight is P=0.0432.

b) The probability that at most 12 ties are too tight is P=1.

Step-by-step explanation:

In this problem, we could represent the proabilities of this events with the Binomial distirbution, with parameter p=0.1 and sample size n=20.

a) We can express the probability that at least 5 ties are too tight as:

$P(x\geq5)=1-\sum\limits^4_{k=0} {\frac{n!}{k!(n-k)!} p^k(1-p)^{n-k}}\\\\P(x\geq5)=1-(0.1216+0.2702+0.2852+0.1901+0.0898)\\\\P(x\geq5)=1-0.9568=0.0432$

The probability that at least 5 ties are too tight is P=0.0432.

a) We can express the probability that at most 12 ties are too tight as:

$P(x\leq 12)=\sum\limits^{12}_{k=0} {\frac{n!}{k!(n-k)!} p^k(1-p)^{n-k}}\\\\P(x\leq 12)=0.1216+0.2702+0.2852+0.1901+0.0898+0.0319+0.0089+0.0020+0.0004+0.0001+0.0000+0.0000+0.0000\\\\P(x\leq 12)=1$

The probability that at most 12 ties are too tight is P=1.

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3 years ago