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S2 sampling

Keep getting 6a wrong

My mean is 3.5 and var is root 1/24

Posted from TSR Mobile
(edited 10 years ago)

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Reply 1
What's the answer in the textbook?

Original post by The_Blade
Keep getting 6a wrong
(edited 10 years ago)
What work have you done so far?
Reply 3
Original post by Jooooshy
What's the answer in the textbook?

0.155 apparently...

Original post by Ranibizumab
What work have you done so far?


In 2nd picture is what I've done

Posted from TSR Mobile
Sorry, I'm a noob! Sorry. Ok just let me check I can get the answer before I tell you any info that might be wrong. :tongue:
Ok I've got it. You working is correct, there's just one thing you forgot.

Hint:
The dice throw is a discrete variable. You are modelling it with a continuous distribution.
Reply 6
Original post by Ranibizumab
Ok I've got it. You working is correct, there's just one thing you forgot.

Hint:
The dice throw is a discrete variable. You are modelling it with a continuous distribution.


He's modelling the mean. What method do you suggest?
Original post by Jooooshy
He's modelling the mean. What method do you suggest?


The normal distribution N(3.5, 35/(12*70)) is being used to estimate the probability. It's a continuous distribution.
A dice throw is discrete.

When you model a discrete variable with a continuous distribution you need to apply a continuity correction.... :smile:
Reply 8
Original post by Ranibizumab
The normal distribution N(3.5, 35/(12*70)) is being used to estimate the probability. It's a continuous distribution.
A dice throw is discrete.

When you model a discrete variable with a continuous distribution you need to apply a continuity correction.... :smile:


Ah forgive me, I didn't know cont. corrections came up in S2! I only did them in S3 :smile:
Original post by Jooooshy
Ah forgive me, I didn't know cont. corrections came up in S2! I only did them in S3 :smile:


Lol no problem. Let me know if you need anymore help :smile:
Reply 10
Original post by Ranibizumab
The normal distribution N(3.5, 35/(12*70)) is being used to estimate the probability. It's a continuous distribution.
A dice throw is discrete.

When you model a discrete variable with a continuous distribution you need to apply a continuity correction.... :smile:


Uses correction but still got it wrong. What went wrong


Edit: got it :smile: how do you know whether to add or minus 1/2n?
Posted from TSR Mobile
(edited 10 years ago)
Congrats! I'll try and draw an explanation on how you know how to add/subtract, hang on....
image.jpg

Ok I've tried to draw an explanation. This is how I have it clear in my head at least..... Does it make sense?
Reply 13
Original post by Ranibizumab
image.jpg

Ok I've tried to draw an explanation. This is how I have it clear in my head at least..... Does it make sense?


Thanks dude I appreciate it :smile:
Could you help me with this one please. 7a+b

If I understand 7a then I'll should be able to do 7b I think

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Original post by The_Blade
Thanks dude I appreciate it :smile:
Could you help me with this one please. 7a+b

If I understand 7a then I'll should be able to do 7b I think

Posted from TSR Mobile


Is it possible to get the image the right way up? My iPad keeps rotating it upside down no matter what I do! Also if you could give me the answer I can double check I'm right before I give you any info :smile:

Edit: I've sorted the image now, just need the answer to double check :smile:
Ok no worries about the answer now I have the same book here. Right, hints coming your way shortly....
(edited 10 years ago)
Reply 15
Original post by Ranibizumab
Is it possible to get the image the right way up? My iPad keeps rotating it upside down no matter what I do! Also if you could give me the answer I can double check I'm right before I give you any info :smile:

Edit: I've sorted the image now, just need the answer to double check :smile:
Ok no worries about the answer now I have the same book here. Right, hints coming your way shortly....


Was about to take another photo aha. OK man :smile:

Posted from TSR Mobile
Original post by The_Blade


If I understand 7a then I'll should be able to do 7b I think

Posted from TSR Mobile


Right, ok first of all you can't use a normal distribution to approximate a poison distribution UNLESS lambda is greater than 15 (2.25 is far too low).

However, there is something you can do to make lambda higher than 15. At which point you can use a normal approximation.
Remember that if you're approximating a poison distribution, the mean must equal the variance. Therefore you can't have N(lambda, lambda/n). It must be N(lambda, lambda).

...see how you get on from there, but I can give more hints if needed :smile:

Edit: lol just realised what poisson gets autocorrected to! I can spell, honest :tongue:
(edited 10 years ago)
Reply 17
Original post by Ranibizumab
Right, ok first of all you can't use a normal distribution to approximate a poison distribution UNLESS lambda is greater than 15 (2.25 is far too low).

However, there is something you can do to make lambda higher than 15. At which point you can use a normal approximation.
Remember that if you're approximating a poison distribution, the mean must equal the variance. Therefore you can't have N(lambda, lambda/n). It must be N(lambda, lambda).

...see how you get on from there, but I can give more hints if needed :smile:

Edit: lol just realised what poisson gets autocorrected to! I can spell, honest :tongue:


Ha didn't even realise!

And I don't think I'm getting anywhere :frown:

Posted from TSR Mobile
Original post by The_Blade
Ha didn't even realise!

And I don't think I'm getting anywhere :frown:

Posted from TSR Mobile


Ok no problem. Remember that Poisson distributions specify a mean for a specific time period/area etc?

You have Po~(2.25) per metre squared
They have sampled 120 metres, so to covert to per 120m^2:
Po~(2.25*120) per 120 metres squared.
....now lambda is greater than 15 and you can use a normal approximation.

Remember that you are still going to be using a continuous distribution to model a discrete distribution.
And since you have already incorporated n=120 into the distribution you don't need to divide by 120 at any point (unlike the previous question) :smile:
It's also a different sort of continuity correction to the previous example...

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