At 04:14 AM 12/10/01 +0000, Jim Snow wrote:
>"Ronny Richardson" <[EMAIL PROTECTED]> wrote in message
>[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
>
> > A few weeks ago, I posted a message about when to use t and when to use z.
>
>I did not see the earlier postings, so forgive me if I repeat advice already
>given.:-)
>
>     1. The consequences of using the t distribution instead of the normal
>distribution for sample sizes greater than 30 are of no importance in
>practice.

what's magical about 30? i say 33 ... no actually, i amend that to 28

>     2. There is no good reason for statistical tables for use in practical
>analysis of data to give figures for t on numbers of degrees of freedom over
>30 except that it makes it simple to routinely use one set of tables when
>the variance is estimated from the sample.

with software, there is no need for tables ... period!


>     3. There are situations where the error variance is known. They
>generally arise when the errors in the data arise from the use of a
>measuring instrument with known accuracy or when the figures available are
>known to be truncated to a certain number of decimal places. For example:
>     Several drivers use cars in a car pool. The distance tavelled on each
>trip by a driver is recorded, based on the odometer reading. Each
>observation has an error which is uniformly distributed in (0,0.2). The
>variance of this error is (0.2)^2)/12  = .003333  and standard deviation
>0.0578  . To calculate confidence limits for the average distance travelled
>by each driver, the z statistic should be used.

this is pure speculation ... i have yet to hear of any convincing case 
where the variance is known but, the mean is not


_________________________________________________________
dennis roberts, educational psychology, penn state university
208 cedar, AC 8148632401, mailto:[EMAIL PROTECTED]
http://roberts.ed.psu.edu/users/droberts/drober~1.htm



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