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Ivenika [448]
3 years ago
13

Please answer this question! Brainliest and 30 points!

Mathematics
2 answers:
Drupady [299]3 years ago
8 0

Answer:

A

Step-by-step explanation:

You are going to divide 4 from both sides of the equation. This gives you 3x+1=2x . (Because 8/4=2)

yanalaym [24]3 years ago
7 0

Answer:

The answer is B!, Have a Good Day and Good Luck!

Step-by-step explanation:

Considering the outcome is half of 8x

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Answer:

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My number has more tens blocks than ones blocks. My number name starts with fifty.
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These data can be approximated quite well by a N(3.4, 3.1) model. Economists become alarmed when productivity decreases. Accordi
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Answer:

First part

P(X< 3.4-0.6*3.1) = P(X

And for this case we can use the z score formula given by:

z = \frac{x- \mu}{\sigma}

And using this formula we got:

P(X

And we can use the normal standard table or excel and we got:

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Second part

For the other part of the question we want to find the following probability:

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And using the score we got:

P(-1.715

And we can find this probability with this difference:

P(-1.65< Z< 1.210)=P(Z

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the data of a population, and for this case we know the distribution for X is given by:

X \sim N(3.4,3.1)  

Where \mu=3.4 and \sigma=3.1

First part

And for this case we want this probability:

P(X< 3.4-0.6*3.1) = P(X

And for this case we can use the z score formula given by:

z = \frac{x- \mu}{\sigma}

And using this formula we got:

P(X

And we can use the normal standard table or excel and we got:

P(Z

Second part

For the other part of the question we want to find the following probability:

P(-1.715

And using the score we got:

P(-1.715

And we can find this probability with this difference:

P(-1.65< Z< 1.210)=P(Z

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