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October 09, 2025, 08:52:25 am

Author Topic: Normal Distributions  (Read 5850 times)  Share 

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costargh

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Re: Normal Distributions
« Reply #15 on: August 06, 2008, 06:38:52 pm »
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Hmmm ok... so we can't really find out what percent of people got 172/180 or higher?

Mao

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Re: Normal Distributions
« Reply #16 on: August 06, 2008, 06:42:20 pm »
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you can:



conditional probability! =D
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costargh

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Re: Normal Distributions
« Reply #17 on: August 06, 2008, 06:44:58 pm »
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So whats the answer.... lol... Mao, you know I am mathematically retarded. :P

And just to ease my mind that its correct could you do it for like percentage of people that got 178/180?

Mao

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Re: Normal Distributions
« Reply #18 on: August 06, 2008, 06:52:23 pm »
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172+: 1.45%
178+: 0.32%

(another problem with discrete data... do we count a score such as 170 to be 168~170? or 170~172? either ways anomaly at ends...)
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costargh

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Re: Normal Distributions
« Reply #19 on: August 06, 2008, 06:56:36 pm »
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THANKS MAOOO
:)

excal

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Re: Normal Distributions
« Reply #20 on: August 11, 2008, 08:13:43 pm »
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Hah, you should also remember these:

1σ (s.d.) away from the mean on both sides is 68% of values
2σ is 95%
3σ is 99%

They can ask you this in a tech free exam.
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Mao

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Re: Normal Distributions
« Reply #21 on: August 11, 2008, 08:38:08 pm »
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Hah, you should also remember these:

1σ (s.d.) away from the mean on both sides is 68% of values
2σ is 95%
3σ is 99%

They can ask you this in a tech free exam.

if you use this in the tech free exam you'd get it wrong :P

3σ is 99.7% in VCELand
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excal

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Re: Normal Distributions
« Reply #22 on: August 12, 2008, 05:50:34 pm »
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Damn study designs.

If you're gonna round to 2 s.f., why not KEEP it that way! :P
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costargh

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Re: Normal Distributions
« Reply #23 on: August 12, 2008, 11:23:53 pm »
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This question is specifically for Mao considering he has been able to give me an answer for the other ones.

166/180. top what %?

excal

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Re: Normal Distributions
« Reply #24 on: August 12, 2008, 11:56:40 pm »
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Pr(X > 166)

You do not need to include an upper X < 180 bound as you are saying 'EVERYONE above 166'
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Collin Li

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Re: Normal Distributions
« Reply #25 on: August 13, 2008, 12:14:30 am »
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You can argue that there should be noone above 180 though.

However, I did it this way because it seemed that VCAA was using the same method:


Putting an upper bound would have yielded approximately 7.8% instead.

Mao

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Re: Normal Distributions
« Reply #26 on: August 13, 2008, 01:09:25 am »
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same method as before, 2.88%
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cara.mel

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Re: Normal Distributions
« Reply #27 on: August 13, 2008, 01:56:05 pm »
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172+: 1.45%
178+: 0.32%

(another problem with discrete data... do we count a score such as 170 to be 168~170? or 170~172? either ways anomaly at ends...)

You count 170 as 169-171 if your discrete data is only every 2nd number which I think you're suggesting there.
But in reality people can get 171/180 so you would count 170 as ~ 169.5-170.5
i lernt dis in mth1030 so it iz 1052.7% more accurate den vce infoz lol.

costargh

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Re: Normal Distributions
« Reply #28 on: August 13, 2008, 04:50:06 pm »
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Well, I don't know which figure is correct.
So far I've been told it is
around 5%
around 7.8&
around 2.88%

:S

Collin Li

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Re: Normal Distributions
« Reply #29 on: August 13, 2008, 05:20:40 pm »
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Well, I don't know which figure is correct.
So far I've been told it is
around 5%
around 7.8&
around 2.88%

:S

7.8% is what you get if you used Mao's method to evaluate scores above 152. However, VCAA quoted that scores above 152 corresponded to the top 10% (which would be using the simpler method).

You get 5.5% using VCAA's method for scores above 166. You get 2.8% using Mao's method.
« Last Edit: August 13, 2008, 05:23:27 pm by coblin »