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RideAnS [48]
3 years ago
14

The difference between two numbers is 10 and their sum is 20. Find the biggest number.

Mathematics
1 answer:
marysya [2.9K]3 years ago
8 0

Answer:

15

Step-by-step explanation:

x - y = 10, then x = 10 + y

x + y = 20

substitute for x:

10 + y + y = 20

2y = 10

y = 5

x = 10 + 5 = 15

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PLEASE HELP ME ASAP!!!
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Step-by-step explanation:

When equal bases are multiplied, the powers add.

The bases of both expressions is x.

The powers are 5 and 7.

The answer is x^(5 + 7) = x^(12)

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Lai ales<br> What is the quotient?<br> +<br> 2y2 - 6y-20<br> 4y+12<br> y2 +5y+<br> 3y2 + 18y+27
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here are two possible solutions

Step-by-step explanation:

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Rút gọn biểu thức <br> x^2-3/x+√3
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Answer:

i dont understand

Step-by-step explanation:

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3 years ago
At the movie theater all snacks and all movie tickets are priced the same. Four snacks and three movie tickets cost $40. Two sna
Nataliya [291]

We know that four snacks and three movie tickets cost $40 dollars, and when you take away 2 snacks but still keep the tickets, its $32.

2 snacks= $8

What i did to find the cost of each ticket is I divided 8 by 2 (8/2) and ended getting $4

1 snack= $4

Now to find the cost of each ticket, i divided 2 snacks ($8) and got this equation:

32 - 8= 24

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Now to find the amount for each ticket, i divided 24 by 3 (24/3) and got the answer:

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7 0
3 years ago
Assume that the population of human body temperatures has a mean of 98.6 degrees F and a standard deviation of 0.62 degrees F. I
dimulka [17.4K]

Answer:

0% probability of getting a mean temperature of 98.2 degrees F or lower.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation \frac{\sigma}{\sqrt{n}}.

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

\mu = 98.6, \sigma = 0.62, n = 106, s = \frac{0.62}{\sqrt{106}} = 0.06

Find the probability of getting a mean temperature of 98.2 degrees F or lower.

This is the pvalue of Z when X = 98.2. So

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Z = -6.67

Z = -6.67 has a pvalue of 0.

So there is a 0% probability of getting a mean temperature of 98.2 degrees F or lower.

8 0
3 years ago
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