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 <[email protected]> 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 <[email protected]> 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 > > ______________________________________________ > [email protected] mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ [email protected] mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
