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List: r-sig-teaching
Subject: Re: [R-sig-teaching] About the standard gaussian distribution
From: "Richard M. Heiberger" <rmh () temple ! edu>
Date: 2017-04-20 17:40:28
Message-ID: CAGx1TMBN3h=+9v7UUn7_T7FmEi2GRi2bR6gaApOn11bJqyQD+Q () mail ! gmail ! com
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Let me suggest the interactive graphic NTplot in the HH package.
## install.packages("HH") ## if you don't have it yet.
library(HH)
NTplot(shiny=TRUE)
[to exit a shiny app, use C-c C-c in the R window in Macintosh, and
<esc> in the R window in Windows]
This single display covers about 60% of the introductory course.
See ?NTplot for additional examples.
Be sure to read the Details section and the examples.
On Thu, Apr 20, 2017 at 11:07 AM, David Monterde <dmonterde@me.com> wrote:
> First of all I have to apologize because my english is horrible.
>
> I am working in a basic and practical statistic course.
>
> I will speak about confidence intervals, of course.
>
> But when I was preparing this chapter I had a doubt: I wonder if it has sence today \
> to explain the confidence intervals for a mean in terms of the standard normal \
> distribution.
> If we show that the mean follows a normal distribution with variance/n then it is \
> easy to explain (and to understand) that the confidence interval is due to two \
> percentiles, the percentile alpha/2 and the percentile 1-alpha/2 from a normal \
> distribution with the sample mean and the sample variance/n.
> I think that the standard gaussian distribution was usefull when we had to \
> calculate CI in the past. That is, it was a simple way to have all possibilities in \
> a single table (in paper).
> But now, we have R functions that let us to obtain the exact values for any normal \
> distribution.
> I think that is not necessary to explain how to work with transformations if we can \
> explain that a CI is simply to identify percentiles.
> What do you think?
>
> Thanks
>
> PD I know that the normal distribution for CI need some hipothesis. But I have \
> focused the question
> _________________________
>
> David Monterde
>
> Lo difĂcil se hace.
> Lo imposible se intenta.
> _________________________
> [[alternative HTML version deleted]]
>
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> R-sig-teaching@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-teaching
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