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Radda [10]
3 years ago
10

What is the equation of the line that passes through the point

Mathematics
1 answer:
andre [41]3 years ago
4 0

Answer:

y= 5/2x + 3

Step-by-step explanation:

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Can someone plz help with this
jok3333 [9.3K]

Answer:

it is A

Step-by-step explanation:

i did this yesterday

5 0
3 years ago
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7× 2/9 express in whole or mixed number
irina [24]
I think it is a mixed number sorry if I’m wrong
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3 years ago
Heather was asked to graph 3x - y = -4 by using slope and y-intercept. Her graph is shown.
irakobra [83]
Hello! The y-intercept is (0, 4), because the line crosses 0 in the x-axis at that point. We can cross out C and D, because those don't show that. The slope is rise/run. You would go up 3, and go to the right once. If you need to, solve for slope by doing y2 - y1/ x2 - x1. Let's use the point (0, 4) and (1, 7) as an example. We would set it up like this: 7 - 4 / 1 - 0. Solving that would give us 3/1 or just simply three. The slope is positive 3 and the y-intercept is (0, 4). The answer is A.
7 0
3 years ago
"is it appropriate to use the normal approximation for the sampling distribution of"
Katyanochek1 [597]

Answer: Normal approximation can be used for discrete sampling distributions, such as Binomial distribution and Poisson distribution if certain conditions are met.

Step-by-step explanation: We will give conditions under which the Binomial and Poisson distribitions, which are discrete, can be approximated by the Normal distribution. This procedure is called normal approximation.

1. Binomial distribution: Let the sampling distribution be the binomial distribution B(n,p), where n is the number of trials and p is the probability of success. It can be approximated by the Normal distribution with the mean of np and the variance of np(1-p), denoted by N(np,np(1-p)) if the following condition is met:

n>9\left(\frac{1-p}{p}\right)\text{ and } n>9\left(\frac{p}{1-p}\right)

2. Poisson distribution: Let the sampling distribution be the Poisson distribution P(\lambda) where \lambda is its mean. It can be approximated by the Normal distribution with the mean \lambda and the variance \lambda, denoted by N(\lambda,\lambda) when \lambda is large enough, say \lambda>1000 (however, different sources may give different lower value for \lambda but the greater it is, the better the approximation).

5 0
3 years ago
Brenda bought five hats. A week later half
VashaNatasha [74]

Answer:

Step-by-step explanation:

23 divided by X. X=half of 23. but really, you need to add to it. other than that i can't help ya, all i know is that half of 23 is 11.5

8 0
3 years ago
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