Which of the following statements is true? According to the Central Limit Theorem, the mean of the sampling distribution is greater than the population mean.

According to the Central Limit Theorem, the mean of the sampling distribution is greater than the standard deviation.

According to the Central Limit Theorem, the mean of the sampling distribution is equal to the population mean as long as the sample size is large enough.

According to the Central Limit Theorem, the mean of the sampling distribution is equal to the standard deviation.

(2,9)

i think thats the answer i checked it on google

5x + 3y = - 4

step-by-step explanation:

the equation of a line in standard form is

ax + by = c ( a is a positive integer and b, c are integers )

express the line first of all in slope- intercept form

y = mx + c ( m is the slope and c the y-intercept )

to calculate m use the gradient formula

m = ( y₂ - y₁ ) / ( x₂ - x₁ )

with (x₁, y₁ ) = (7, - 3) and (x₂, y₂ ) = (4, - 8)

m = = -

y = - x + c ← is the partial equation

to find c substitute either of the 2 points into the partial equation

using (4, - 8 ), then

- 8 = - + c ⇒ c = -

y = - x - ← in slope-intercept form

multiply all terms by 3 to eliminate the fractions

3y = - 5x - 4 ( add 5x to both sides )

5x + 3y = - 4 ← in standard form

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step-by-step explanation:

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