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3 years ago

8

Explain why the formulas for sample variance and population variance are different.

1 answer:

erma4kov [3.2K]3 years ago

8 0

Answer:

The answer is "option C".

Step-by-step explanation:

Distinctions are also the mean squared variance just are calculated as the number of standard differences divided by "N" and for a population. After all, if a sample uses this very same definition.

Its standard deviation would become partially skewed as well as the resulting community value becomes continuously underestimate.
Its experimented formula consequently includes a correction modification for a bias. Its modification involves dividing by instead of n.

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In a continuous series, mean(x) = 80, assumed mean(A) = 60 and<br>EF=40 then find the value of EFd.

Aneli [31]

Using the given information, the value of Σfd is 800

<h3>Calculating mean using Assumed mean </h3>

From the question, we are to determine the value of Σfd

The formula for mean, using the assumed mean method is given by

$\bar x = A + \frac{\sum fd}{\sum f}$

Where $\bar x$ is the mean

A is the assumed mean

From the given information,

$\bar x = 80$

$A = 60$

$\sum f = 40$

Putting the parameters into the equation, we get

$80 = 60 + \frac{\sum fd}{40}$

$80-60 = \frac{\sum fd}{40}$

$20 = \frac{\sum fd}{40}$

$\sum fd = 20 \times 40$

$\sum fd = 800$

Hence, the value of Σfd is 800

Learn more on Mean here: brainly.com/question/20118982

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