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Artemon [7]
3 years ago
9

How to graph a linear function in math

Mathematics
1 answer:
jekas [21]3 years ago
4 0

First, we need to evaluate the function to get two points, and then we connect them with a line.

<h3>How to graph a linear function in math?</h3>

The linear function in the slope-intercept form is:

f(x) = a*x + b

Where x is the variable.

To graph it, we need to find two points on the line, to do that, we evaluate in two values of x. Let's use x = 0 and x = 1.

for x = 0:

f(0) = a*0 + b = b

for x = 1:

f(1) = a*1 + b = a + b

Then we have the points: (0, b) and (1, a + b).

Now we only need to graph these two points and connect them with a line, that line will be the graph of the linear function.

If you want to learn more about linear equations:

brainly.com/question/4025726

#SPJ1

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Which values of a, b, and c represent the answer in simplest form?<br> 9/11 divided by 5/11 = a b/c
ozzi

Answer:

a=1, b=9 and c= 5

Step-by-step explanation:

9/11 divided by 5/11

= 9/11 * 11/5

11 gets cancelled

=9/5

it can also be written as 1* 9/5

Hence here a=1, b=9 and c= 5  

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3 years ago
What is the formula for a confidence interval?
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Answer:

a) The formula is given by mean \pm the margin of error. Where the margin of error is the product between the critical value from the normal standard distribution at the confidence level selected and the standard deviation for the sample mean.

b) \bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}}

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

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If the distribution for X is normal or if the sample size is large enough we know that the distribution for the sample mean \bar X is given by:

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Part a

The formula is given by mean \pm the margin of error. Where the margin of error is the product between the critical value from the normal standard distribution at the confidence level selected and the standard deviation for the sample mean.

Part b

The confidence interval for the mean is given by the following formula:  

\bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}}

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