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Mathematics 9 Online
OpenStudy (anonymous):

Standard deviation question, please help!

OpenStudy (anonymous):

OpenStudy (anonymous):

@kropot72

OpenStudy (kropot72):

The first step is to add the 7 amounts and divide the total by 7 to find the mean amount. Can you do that and post the result?

OpenStudy (anonymous):

$5.10

OpenStudy (kropot72):

Correct. Next you need to subtract the mean from each of the 7 daily amounts and square the result. Here is the calculation for Sunday as an example: \[4.85-5.10=-0.25\] \[(-0.25)^{2}=0.0625\] Can you do that for each of the remaining 6 days and post the results?

OpenStudy (anonymous):

0, 0.16, 0.5625, 0.36, 0.01, 0.81

OpenStudy (kropot72):

All correct except for the Wednesday calculation. Please check.

OpenStudy (anonymous):

.1225

OpenStudy (kropot72):

Correct! Now add the 7 results and divide the total by 7. Then take the square root of the result to get the standard deviation.

OpenStudy (anonymous):

I got .0474617347, right?

OpenStudy (kropot72):

Not really. What did you get for the sum of the following: 0.0626 + 0 + 0.16 + 0.1225 + 0.36 + 0.01 + 0.81= ?

OpenStudy (anonymous):

1.525

OpenStudy (kropot72):

Then what is \[1.525\div 7=?\]

OpenStudy (anonymous):

.2178571429

OpenStudy (kropot72):

And the square root of that?

OpenStudy (anonymous):

Ohh, I tried squaring it last time, I got .466751693

OpenStudy (kropot72):

Good work! So rounding, it would be 0.46675

OpenStudy (anonymous):

Sweet, so that is my answer for part a?

OpenStudy (anonymous):

Or I guess rounded to the thousanth 0.467

OpenStudy (kropot72):

That is the answer for part a. You are correct in rounding to the nearest thousanth, I forgot that the question specified that.

OpenStudy (anonymous):

Awesome, could you give me a hand on part b now? :P

OpenStudy (kropot72):

Certainly I can help with part b. Have you any idea what would happen to the value of the standard deviation if the sample size n increased and the sum of the squared differences remained the same?

OpenStudy (anonymous):

No, no idea, sorry I'm really bad at statistics

OpenStudy (kropot72):

Well, the calculated standard deviation would reduce. This could indicate that the original sample size was too small.

OpenStudy (anonymous):

hmmm, ok, I think that makes sense, and the second part of the question? What does that mean in real life?

OpenStudy (kropot72):

Be suspicious of results calculated from small samples. The level of uncertaity can be high.

OpenStudy (anonymous):

Thanks, I really really appreciate your help, I would give you 10 medals if I could. :)

OpenStudy (kropot72):

You're welcome :)

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