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Snezhnost [94]
3 years ago
6

What is the value of the rational expression below when x is equal to 4? 12+x/4+x

Mathematics
2 answers:
kozerog [31]3 years ago
8 0
The expression is equal to 2. 

Let's take the original equation and put 4 in for every x that we see. 

<span>12+x/4+x
12 + (4)/ 4 + (4)
16/8
2</span>
11Alexandr11 [23.1K]3 years ago
6 0
This is easy what you should do is plug in 4 for the x's in the rational expression and what it should look like when finished is: 12+4/4+4.
To remember the steps in which and equation should be solved is:
P=Parentheses
E=Exponents
M=Multiply
D=Division
A=Add
S=Subtract

So the answer to the equation is: 17
Hoped this helped you into solving more equations like this one. :)

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3 years ago
Suppose data made available through a health system tracker showed health expenditures were $10,348 per person in the United Sta
nignag [31]

Answer:

a) 30.08% probability the sample mean will be within $100 of the population mean.

b) 0% probability the sample mean will be greater than $12,600

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the Central Limit Theorem.

Normal probability distribution

When the distribution is normal, we use 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this question, we have that:

\mu = 10348, \sigma = 2500, n = 100, s = \frac{2500}{\sqrt{100}} = 250

a. What is the probability the sample mean will be within ±$100 of the population mean?

This is the pvalue of Z when X = 100 divided by s subtracted by the pvalue of Z when X = -100 divided by s. So

Z = \frac{100}{250} = 0.4

Z = -\frac{100}{250} = -0.4

Z = 0.4 has a pvalue of 0.6554, Z = -0.4 has a pvalue of 0.3556

0.6554 - 0.3546 = 0.3008

30.08% probability the sample mean will be within $100 of the population mean.

b. What is the probability the sample mean will be greater than $12,600?

This is 1 subtracted by the pvalue of Z when X = 12600. So

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

By the Central Limit Theorem

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

Z = \frac{12600 - 10348}{250}

Z = 9

Z = 9 has a pvalue of 1.

1 - 1 = 0

0% probability the sample mean will be greater than $12,600

5 0
3 years ago
Helpp i really neeed it
Marizza181 [45]

Answer:

9 hours

Step-by-step explanation:

If she makes $ 20 for each car, washing 9 cars in 3 hours would get $ 180.

So she will need to work 9 hours 180 + 180 + 180, washing 9 cars in 3 hours and would get $ 540. This is enough to buy her phone and she will have a surplus of $ 120.

In summary she must work 9 hours

Hope this helps you, please give me the brainliest

7 0
3 years ago
Let set A = {1,3,5,7} and set B = {1,2,3,4,5,6,7,8}
Semenov [28]

Step-by-step explanation:

A elements lies on B.............

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4 years ago
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