As your sample size grows larger, the n - 1 adjustment for the standard deviation has a smaller impact on the estimates of standard deviation.
<u>Step-by-step explanation:</u>
The average (mean) of sample's distribution seems to be the same as the distribution mean at which samples were taken. The means of mean distribution will not change. However, the standard deviations for the samples mean is the standard deviations of the primary distribution divided by square roots of the samples size.
The standard deviations of means decreases as the samples size increases. Likewise, when the samples size decreases, the standard deviations for the samples mean increases. So, there is a little impact on standard deviations estimation when sample size increases.
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X= 1,2,11/4,4,5
Y=6,1,-1/8,3,10
Answer:
(20,0)
Step-by-step explanation:
slope = (y2 - y1) / (x2 - x1)
(-5,-5).....x1 = -5 and y1 = -5
(10,-2)...x2 = 10 and y2 = -2
slope = (-2 - (-5) / (10- (-5) = (-2 + 5) / (10 + 5) = 3/15 = 1/5
y = mx + b
slope(m) = 1/5
use either point, I will use (10,-2)...x = 10 and y = -2
now we sub
-2 = 1/5(10) + b
-2 = 2 + b
-2 - 2 = b
-4 = b
so the equation for this line is : y = 1/5x - 4
to find the x intercept, sub in 0 for y and solve for x
y = 1/5x - 4
0 = 1/5x - 4
-1/5x = -4
x = -4 * -5
x = 20.......so ur x intercept is (20,0) <====
