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

Bert Gunter bgunter.4567 at gmail.com
Fri Feb 10 17:03:34 CET 2017

```IMHO, You were given an appropriate answer. Please follow its advice.

-- Bert

Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Fri, Feb 10, 2017 at 3:27 AM, mamuash bukana <mamushbukana at gmail.com> 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
>>
>> cheers,
>>
>> Rolf Turner
>>
>> --
>> Technical Editor ANZJS
>> Department of Statistics
>> University of Auckland
>> Phone: +64-9-373-7599 ext. 88276
>
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