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2 years ago

Worth 33 points!

Mathematics

2 answers:

eduard2 years ago

6 0

Answer:

(-3,1)

Step-by-step explanation:

As their are two lines so these are simultaneous linear equations

The solution is the point or coordinate at which they intersect with each other

Hence this is (-3,1)

Ivan2 years ago

4 0

<h3>Answer:</h3>

(-3, 1)

<h3>Step-by-step explanation:</h3>

Note: The solution of a graph is the intersection of 2 lines.

<u>Plotting the solution on the graph:</u>

To plot the solution on the graph,

Look for the intersection point of the two lines.
Make a dot on the graph to represent the solution.

<u>Identifying a solution on the graph:</u>

To identify the solution, you willl need to determine it's coordinates.

1. Determine the x and y coordinate by drawing a line going downwards and rightwards. Keep in mind that the intersection of the lines on the x and y axis are the x and y coordinates repectively.

(It is suggested that the line should be drawn with a ruler).

2. The x and y coordinate obtained should be put in (x,y) form.

<u>Determining the solution on the graph:</u>

⇒ Intersection point: (x, y) = (x = -3; y = 1) = (-3, 1) [Refer to image]

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11 months ago

I need help??!!!! 3s(s – 8) = 0 s = or s = <br><br><br><br><br> [/tex]

sergeinik [125]

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2 years ago

Repeated student samples. Of all freshman at a large college, 16% made the dean’s list in the current year. As part of a class p

Dima020 [189]

Answer:

a) p-hat (sampling distribution of sample proportions)

b) Symmetric

c) σ=0.058

d) Standard error

e) If we increase the sample size from 40 to 90 students, the standard error becomes two thirds of the previous standard error (se=0.667).

Step-by-step explanation:

a) This distribution is called the <em>sampling distribution of sample proportions</em> <em>(p-hat)</em>.

b) The shape of this distribution is expected to somewhat normal, symmetrical and centered around 16%.

This happens because the expected sample proportion is 0.16. Some samples will have a proportion over 0.16 and others below, but the most of them will be around the population mean. In other words, the sample proportions is a non-biased estimator of the population proportion.

c) The variability of this distribution, represented by the standard error, is:

$\sigma=\sqrt{p(1-p)/n}=\sqrt{0.16*0.84/40}=0.058$

d) The formal name is Standard error.

e) If we divided the variability of the distribution with sample size n=90 to the variability of the distribution with sample size n=40, we have:

$\frac{\sigma_{90}}{\sigma_{40}}=\frac{\sqrt{p(1-p)/n_{90}} }{\sqrt{p(1-p)/n_{40}}}}= \sqrt{\frac{1/n_{90}}{1/n_{40}}}=\sqrt{\frac{1/90}{1/40}}=\sqrt{0.444}= 0.667$

If we increase the sample size from 40 to 90 students, the standard error becomes two thirds of the previous standard error (se=0.667).

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2 years ago

Can someone help my find the fraction and explain how you got it please please

Harrizon [31]

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