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AysviL [449]
3 years ago
7

For the equation y - 3 = 2(x + 4), the line has a slope of 2 and contains what point?

Mathematics
2 answers:
svetoff [14.1K]3 years ago
4 0

Answer:

(0,11)

Step-by-step explanation:

1. Distribute the 2 to (x + 4).

2. y - 3= 2x + 8

3. y= 2x + 11

4. This is now in y=mx + b format which means b is the y-intercept. The answer is (0,11).

galina1969 [7]3 years ago
4 0

Answer:

The answer is (-4,3)

Step-by-step explanation:

Comparing the equation of a line y-3=2(x+4)\quad \textnormal{with}\quady-y_{0} =m(x-x_{0} )

x_{0}=-4\quad\textnormal{and}\quad y_{0}=3

Therefore, the point is (-4,3)

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Check my answer :D
Dimas [21]
Hello,
your answer should be true if you put parenthesis!

=1/2[log base 9(57)-log base9 (74)]
=1/2 log base 9 (57)-1/2 log base 9(74)




7 0
3 years ago
Read 2 more answers
6. (4.11.2) A 500-page book contains 250 sheets of paper. The thickness of the paper used to manufacture the book has mean 0.08
Maksim231197 [3]

Answer:

10.38% probability that a randomly chosen book is more than 20.2 mm thick

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are 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.

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.

For sums of n elements, the mean is n\mu and the standard deviation is s = \sqrt{n}\sigma

In this problem, we have that:

\mu = 250*0.08 = 20, \sigma = \sqrt{250}*0.01 = 0.1581

What is the probability that a randomly chosen book is more than 20.2 mm thick (not including the covers)

This is 1 subtracted by the pvalue of Z when X = 20.2. So

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

By the Central Limit Theorem

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

Z = \frac{20.2 - 20}{0.1581}

Z = 1.26

Z = 1.26 has a pvalue of 0.8962

1 - 0.8962 = 0.1038

10.38% probability that a randomly chosen book is more than 20.2 mm thick

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3 years ago
Alex was playing a board game with six-sided die. She tossed the die for her turn. What is P(5)?
ycow [4]

Answer:

probability of getting a 5

Step-by-step explanation:

6 0
3 years ago
At a quick-lunch counter, 3 pretzels and 1 soda cost
NeX [460]

Answer:

I really did try man ;-;

Step-by-step explanation:

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The perimeter of a rectangle is 60 centimeters. The base is 2 times the height. What are the dimensions of the rectangle?
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