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Standard Deviation about Mean

A simple form...

Question

A simple formula to calculate the standard error is___________.

A

S_{y x} =

σ_{y} \sqrt{1 - r^{2}}

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B

S_{x y} =

σ_{x} \sqrt{1 - r^{2}}

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C

S_{y x} =

S.E.

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D

Both (A) and (B)

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Solution

The correct option is D Both (A) and (B)
Standard error can be calculated by applying two formulas mentioned in option A and option B that shows how a sample mean deviates from the mean of whole population.

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Similar questions

r > 1

x = a + \frac{a}{r} + \frac{a}{r^{2}} +

\infty

y = b - \frac{b}{r} + \frac{b}{r^{2}} -

\infty

z = c + \frac{c}{r^{2}} + \frac{c}{r^{4}} +

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\frac{x y}{z} =

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x = a + \frac{a}{r} + \frac{a}{r^{2}} + . . . . . .

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z = c + \frac{c}{r^{2}} + \frac{c}{r^{4}} + . . . .

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\frac{x y}{z} =

R_{1}

R_{2}

be two relations defined as follows:

R_{1} = {(a, b) \in R^{2} : a^{2} + b^{2} \in Q}

R_{2} = {(a, b) \in R^{2} : a^{2} + b^{2} \notin Q} .

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x = a + a / r + a / r^{2} + . . ., y = b + b / r + b / r^{2} + . . .

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x y / z^{2}

Q. Two variates, x and y, are uncorrelated and have standard deviations

σ_{x}

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