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fredd [130]
2 years ago
9

Can somebody help me find the slope of this problem ??

Mathematics
2 answers:
andreev551 [17]2 years ago
7 0

Answer:

The slope is 3/4

Please correct me if I am wrong please and thank you

Step-by-step explanation:

I use the slope formula \frac{y2-y1}{x2-x1}

Plug in (2,1) and (-2,-2)

1-(-2)/2-2

= 3/4

lord [1]2 years ago
4 0

Answer:

3/4

Step-by-step explanation:

The slope of this line is 3/4. Slope is the rise over run or the change in y over the change in x. So one way to find the slope is to count how much y and x changes, in this graph between the 2 points y increases by 3 and x increases by 4. So the final slope is 3/4, (if one value decreases then the slope is negative). One way to visually check the slope is to remember that slopes less than -1 or greater than 1 make the line steeper while fraction slopes make the line flatter. Also, you can use the slope formula, \frac{y_{2-y_{1} } }{x_{2}-x_{1}  } just plug in the values.

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In the figure, . Find x and y.
zloy xaker [14]

Answer:

The answer to your question is x = 52° and y = 137°

Step-by-step explanation:

Process

1.- Find the value of x using the large right triangle, remember that the sum of the internal angles in a triangle equals 180°.

   x  + 38 + 90 = 180

  x = 180 - 90 - 38

  x = 52°

2.- To find y, we notice that x and y -9 are supplementary angles so their sum gives 180°.

           x + y - 9 = 180

Substitution

          52 + y - 9 = 180

          y = 180 + 9 - 52

          y = 137°

   

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3 years ago
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What is the value of y 4y-3=5y+2 solv for y
Fudgin [204]
Y is 5 hope this helps
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What is the slope of the line x=-3
mote1985 [20]

x = 3 is  a vertical line that goes straight up and down at 3 on the x axis, vertical lines have a undefined slope.  Don't confuse that with no slope which is a flat like like y=7.  

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A practice law exam has 100 questions, each with 5 possible choices. A student took the exam and received 13 out of 100.If the s
Cloud [144]

Answer:

z=\frac{13-20}{4}=-1.75

Assuming:

H0: \mu \geq 20

H1: \mu

p_v = P(Z

Step-by-step explanation:

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

Let X the random variable of interest (number of correct answers in the test), on this case we now that:

X \sim Binom(n=100, p=0.2)

The probability mass function for the Binomial distribution is given as:

P(X)=(nCx)(p)^x (1-p)^{n-x}

Where (nCx) means combinatory and it's given by this formula:

nCx=\frac{n!}{(n-x)! x!}

We need to check the conditions in order to use the normal approximation.

np=100*0.2=20 \geq 10

n(1-p)=20*(1-0.2)=16 \geq 10

So we see that we satisfy the conditions and then we can apply the approximation.

If we appply the approximation the new mean and standard deviation are:

E(X)=np=100*0.2=20

\sigma=\sqrt{np(1-p)}=\sqrt{100*0.2(1-0.2)}=4

So we can approximate the random variable X like this:

X\sim N(\mu =20, \sigma=4)

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".  The letter \phi(b) is used to denote the cumulative area for a b quantile on the normal standard distribution, or in other words: \phi(b)=P(z

The z score is given by this formula:

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

If we replace we got:

z=\frac{13-20}{4}=-1.75

Let's assume that we conduct the following test:

H0: \mu \geq 20

H1: \mu

We want to check is the score for the student is significantly less than the expected value using random guessing.

So on this case since we have the statistic we can calculate the p value on this way:

p_v = P(Z

5 0
2 years ago
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