Sabine records the daily heights of a random sample of bamboo stalks, in inches. They are: 20, 19, 17, 16, 18, 15, 20, 21 Consider the formulas: A: s squared = StartFraction (x 1 minus x overbar) squared (x 2 minus x overbar) squared ellipsis (x n minus x overbar) squared Over n minus 1. B: s = StartRoot StartFraction (x 1 minus x overbar) squared (x 2 minus x overbar) squared ellipsis (x n minus x overbar) squared Over n minus 1 EndFraction EndRoot. C: Sigma squared = StartFraction (x 1 minus mu) Squared (x 2 minus mu) squared ellipsis (x N minus mu) squared Over N EndFraction. D: Sigma = StartRoot StartFraction (x 1 minus mu) Squared (x 2 minus mu) squared ellipsis (x N minus mu) squared Over N EndFraction EndRoot Which formula should you use for variance? Which formula should you use for standard deviation?.

Respuesta :

The formula Sabine should use for calculating the variance and standard deviation for the random sample of bamboo stalks are,

[tex]s^2=\dfrac{(x_1-\overline x)^2(x_2-\overline x)^2...(x_n-\overline x)^2}{n-1}[/tex]

[tex]s=\sqrt{\dfrac{(x_1-\overline x)^2(x_2-\overline x)^2...(x_n-\overline x)^2}{n-1}}[/tex]

What is variance and standard deviation?

The variance of the data is the measure of average level by which every point is differed from the mean.

It can be calculated as,

[tex]s^2=\dfrac{(x_1-\overline x)^2(x_2-\overline x)^2...(x_n-\overline x)^2}{n-1}[/tex]

The standard deviation of the data is the half of the difference of the highest value and mean of the data set.

It can be calculated as,

[tex]s=\sqrt{\dfrac{(x_1-\overline x)^2(x_2-\overline x)^2...(x_n-\overline x)^2}{n-1}}[/tex]

Sabine records the daily heights of a random sample of bamboo stalks, in inches.

They are: 20, 19, 17, 16, 18, 15, 20, 21

For this data Sabine wants to calculate the variance and standard deviation, which can be done using the above formula.

Hence, the formula Sabine should use for variance is,

[tex]s^2=\dfrac{(x_1-\overline x)^2(x_2-\overline x)^2...(x_n-\overline x)^2}{n-1}[/tex]

The formula should Sabine use for standard deviation,

[tex]s=\sqrt{\dfrac{(x_1-\overline x)^2(x_2-\overline x)^2...(x_n-\overline x)^2}{n-1}}[/tex]

Learn more about the variance and standard deviation here;

https://brainly.com/question/15858152

Answer:

First Part: A and B

Second Part: 4.5 and 2.12

Step-by-step explanation:

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