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erastovalidia [21]

2 years ago

5

How can you find the slope from a table?

1 answer:

Alex777 [14]2 years ago

8 0

Answer:

you find slope from a table by taking any two points. the left side is the input of the table, the x, and the right side is the output the y. whenever you're finding the points to do slope, they must be correlated.

__x__|__y__

___2_|__4___

__3__|___6__

so if you want to choose 2 for the x input then you must choose the 4 as the y output.

After choosing the two points, (2,4) and (3,6), you need to find the slope which is y-y/x-x. so in this case it's 6-4/3-2. after subtracting you get, 2/1 which if you simplify, it's 2. Or you divide which is also 2. I hope this helped.

Plz give me brainliest!

Step-by-step explanation:

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Answer:

$s^2 = \frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}$

But we need to calculate the mean with the following formula:

$\bar X = \frac{\sum_{i=1}^n X_I}{n}$

And replacing we got:

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And for the sample variance we have:

$s^2 = \frac{(1.04-1.072)^2 +(1.00-1.072)^2 +(1.13-1.072)^2 +(1.08-1.072)^2 +(1.11-1.072)^2}{5-1}= 0.00277\ approx 0.003$

And thi is the best estimator for the population variance since is an unbiased estimator od the population variance $\sigma^2$

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Step-by-step explanation:

For this case we have the following data:

1.04,1.00,1.13,1.08,1.11

And in order to estimate the population variance we can use the sample variance formula:

$s^2 = \frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}$

But we need to calculate the mean with the following formula:

$\bar X = \frac{\sum_{i=1}^n X_I}{n}$

And replacing we got:

$\bar X = \frac{ 1.04+1.00+1.13+1.08+1.11}{5}= 1.072$

And for the sample variance we have:

$s^2 = \frac{(1.04-1.072)^2 +(1.00-1.072)^2 +(1.13-1.072)^2 +(1.08-1.072)^2 +(1.11-1.072)^2}{5-1}= 0.00277\ approx 0.003$

And thi is the best estimator for the population variance since is an unbiased estimator od the population variance $\sigma^2$

$E(s^2) = \sigma^2$

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