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.tur...@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
______________________________________________
R-help@r-project.org 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.
--
Michael
http://www.dewey.myzen.co.uk/home.html
______________________________________________
R-help@r-project.org 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.