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klemol [59]
4 years ago
11

What is the slope of the line whose equation is 7x+3y=15? With steps.

Mathematics
2 answers:
Harlamova29_29 [7]4 years ago
8 0

Answer: slope, m = -7/3

Step-by-step explanation:

The equation of the line is

7x+3y=15.

To find the slope,

We will consider the standard slope intercept equation also known as the equation of a straight line,

y = mx + c

Where m = slope( change in y values divided by change in x values)

c = the y intercept. This is the point where the straight line cuts across the y axis

Looking at the given equation, 7x+3y=15,

We would need to rearrange it and make y the subject of the formula. It becomes

3y = 15 - 7x

Dividing the right hand side of the equation and left hand side of the equation by 3,

y = -7x/3 + 15. Comparing with the slope intercept equation,

m = -7/3

murzikaleks [220]4 years ago
7 0
7x + 3y = 15
3y = -7x + 15
y = -7/3x + 15/3
y = -7/3x + 5

This is the “y=mx+b” form where m, the number in front of x is the slope. Hence, the slope is -7/3.
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Step-by-step explanation:

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Combine like terms

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5 0
3 years ago
A process is producing a particular part where the thickness of the part is following a normal distribution with a µ = 50 mm and
Hitman42 [59]

Answer:

0.13% probability that this selected sample has an average thickness greater than 53

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}}.

In this problem, we have that:

\mu = 50, \sigma = 5, n = 25, s = \frac{5}{\sqrt{25}} = 1

What is the probability that this selected sample has an average thickness greater than 53?

This is 1 subtracted by the pvalue of Z when X = 53. So

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

By the Central Limit Theorem

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

Z = \frac{53 - 50}{1}

Z = 3

Z = 3 has a pvalue of 0.9987

1 - 0.9987 = 0.0013

0.13% probability that this selected sample has an average thickness greater than 53

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3 years ago
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Answer:

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3 years ago
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