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Ne4ueva [31]
3 years ago
5

For the graph x = -3 find the slope of a line that is parallel to it.

Mathematics
2 answers:
shutvik [7]3 years ago
3 0
The ilne paralell to x=something is x=something else (both are constants)

slope=rise/run

x=-3
it rises infiniley and runs 0 (goes left to right 0)
slope=infinity/0=undefined

the slope is undefined
paralell lines have same slope
so the slope of a paralell line is also undefined
kotegsom [21]3 years ago
3 0
A parallel line has the same slope and the slope intercept form is Y=mx+b x being the slope so that would be y=-3m+b so a parallel lines slope would also be -3.
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Kryger [21]

Answer:

Proof for k|r

Step-by-step explanation:

We are given that a, n, b, r and k are integers.

Also,

a = nb + r

Since k divides a and b, we can write,

a = rk and b = sk, where r and s are integers.

Now, we have to prove that k divides r as well that is k|r

Putting value of a and b in the equation, we get:

rk = n(sk) + r\\r = rk - nsk\\r = (r-sn)k

Since, (r-sn) is an integer, k divides r.

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Strike441 [17]

Answer:

a) Standard error = 2

b) Range = (76.08, 83.92)

c) P=0.69

d) Smaller

e) Greater

Step-by-step explanation:

a) When we have a sample taken out of the population, the standard error of the mean is calculated as:

\sigma_m=\dfrac{\sigma}{\sqrt{n}}=\dfrac{10}{\sqrt{25}}=\dfrac{10}{5}=2

where n is te sample size (n=25) and σ is the population standard deviation (σ=10).

Then, the standard error of the classroom average score is 2.

b) The calculations for this range are the same that for the confidence interval, with the difference that we know the population mean.

The population standard deviation is know and is σ=10.

The population mean is M=80.

The sample size is N=25.

The standard error of the mean is σM=2.

The z-value for a 95% confidence interval is z=1.96.

The margin of error (MOE) can be calculated as:

MOE=z\cdot \sigma_M=1.96 \cdot 2=3.92

Then, the lower and upper bounds of the confidence interval are:

LL=M-t \cdot s_M = 80-3.92=76.08\\\\UL=M+t \cdot s_M = 80+3.92=83.92

The range that we expect the average classroom test score to fall 95% of the time is (76.08, 83.92).

c) We can calculate this by calculating the z-score of X=79.

z=\dfrac{X-\mu}{\sigma}=\dfrac{79-80}{2}=\dfrac{-1}{2}=-0.5

Then, the probability of getting a average score of 79 or higher is:

P(X>79)=P(z>-0.5)=0.69146

The approximate probability that a classroom will have an average test score of 79 or higher is 0.69.

d) If the sample is smaller, the standard error is bigger (as the square root of the sample size is in the denominator), so the spread of the probability distribution is more. This results then in a smaller probability for any range.

e) If the population standard deviation is smaller, the standard error for the sample (the classroom) become smaller too. This means that the values are more concentrated around the mean (less spread). This results in a higher probability for every range that include the mean.

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Answer:

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Use the elimination method to solve the system of equations. Add the terms from top to bottom. 7x and -7x cancel out.

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Divide both sides by 3.

y = 1

Substitute 1 for y into the first equation.

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Subtract 5 from both sides.

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