[R] [FORGED] Equality of two probabilities (proportions?)

Michael Dewey lists at dewey.myzen.co.uk
Fri Feb 10 13:14:35 CET 2017

Dear Mamuash

I expect you will shortly get an email telling you that this is 
off-topic as it is about statistics not R but in the mean time you might 
search for "scoring rules" or even "Brier score". I am afraid I am not 
an expert in this area and they possibly do not answer your question but 
worth a try.

On 10/02/2017 11:27, mamuash bukana wrote:
> Suppose we calculate probability of an event using Binomial
> distribution and got p1. Then probability of that same event is
> calculated using the Normal approximation to Binomial and got p2.
> Can't we evaluate the goodness of our approximation by comparing the
> difference between p1&p2? If yes, how to implement this in R?
> I wouldn't have been here seeking for help if I had that "deep"
> understanding of the issue under question Rolf!
> M
> On Fri, Feb 10, 2017 at 10:42 AM, Rolf Turner <r.turner at auckland.ac.nz> wrote:
>> On 10/02/17 21:12, mamuash bukana wrote:
>>> Dear R users,
>>> I wanted to test if there is significant difference between
>>> probabilities of the same event calculated in different ways. I am
>>> aware about the prop.test() which does the comparison between two
>>> proportions given the number of successes and sample sizes. But in my
>>> case the only values I do have are the probabilities the event.
>>> Your kind suggestions will be very appreciated.
>> I think that it is pretty clear from your question that you are way out of
>> your depth and that you do not understand the concept of "significant
>> difference".
>> You should therefore seek help from a competent local statistician.
>> Although I could be wrong about my estimate of your depth of understanding,
>> it is at the very least true that you need to read the posting guide
>> carefully and learn how to ask a question that actually makes sense,
>> includes necessary details, and gives list members a fighting chance of
>> providing a meaningful answer.
>> cheers,
>> Rolf Turner
>> --
>> Technical Editor ANZJS
>> Department of Statistics
>> University of Auckland
>> Phone: +64-9-373-7599 ext. 88276
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