here are a bit of data from minitab ... that you might want to consider

MTB > rand 1000 c1-c25;  <<< i generated 1000 samples that will be n=25 ...
SUBC> chis 4. <<< from a chisquare distribution with 4 degrees of freedom ...
MTB > rmean c1-c25, c26 <<< i put the MEAN for each row (sample mean) in c26
MTB > rmedian c1-c25, c27 <<< i put the MEDIAN for each row (sample median) 
in c26
MTB > desc c26 c27

Descriptive Statistics: C26, C27


Variable             N       Mean     Median     TrMean      StDev    SE Mean
C26               1000     4.0380     4.0171     4.0260     0.5872     0.0186
C27               1000     3.4308     3.3670     3.4134     0.6636     0.0210

Variable       Minimum    Maximum         Q1         Q3
C26             2.6021     5.7545     3.6410     4.3873
C27             1.7132     5.6370     2.9718     3.8435

a chisquare distribution with 4 df will exhibit considerable + skew ... 
with mean being = df and, median then being less than mean ... it is about 
3.4 here ...

if you want to estimate the population mean ... you can do that with the 
sample mean ... if you want to estimate the population median, you can do 
that with the sample median

and, just like building a CI for the population mean ... we can build a CI 
for the population median ... one just has to make up their mind about what 
they are trying to estimate

however, look at the sampling distributions of the mean and the median

note that both look approximately normal ... but, the STDEV in the above 
describe data show that the sample MEAN has less error than the sample 
median ... ie, the sample median is more likely to be a further distance 
from the population median than the sample mean is likely to be away from 
the population mean ..

you might want to consult an intermediate stat book for a procedure for 
finding the CI for a median ... though in minitab, it is given as part of 
the %decribe macro

MTB > dotp c26 c27;
SUBC> same.

Dotplot: C26, C27


Each dot represents up to 4 points
                                           .
                                      :    :  .
                                      ::...:  :
                                     ::::::::::
                                  :  ::::::::::: .
                                  ::::::::::::::.:. .
                               ::::::::::::::::::::.:
                            .. :::::::::::::::::::::::.:.. .
                         ..::::::::::::::::::::::::::::::::::....
           -+---------+---------+---------+---------+---------+-----C26
Each dot represents up to 4 points
                               .  .
                               :: :
                             : ::.: :.:
                         .  ::::::::::::
                         ::.:::::::::::::..:
                      . .::::::::::::::::::::   .
                    .::::::::::::::::::::::::::::..
             .......::::::::::::::::::::::::::::::::::......  .
           -+---------+---------+---------+---------+---------+-----C27
         1.60      2.40      3.20      4.00      4.80      5.60

MTB >


At 09:16 AM 1/31/01 -0800, James Ankeny wrote:
>  Hello,
>    I am currently taking a first course in statistics,



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