Hypothesis normal distribution
The class table is stored by using the separate menu option.
The separation in different classes is done with minimum 5
values in each class. Upper and lower limit has to be m and
-oo and you can achieve this by using big numbers as the lo-
wer and upper limit for the class intervals.
For the calculation of mean and standard deviation as esti-
mates for the parameters the discrete statistic has to be sto-
red with known frequencies (SDAT).
Interface:
RAD
{HOME }
: IJL a:
:anr:
*•*• i?*?-*
Normald. n values
Level a Num.est. r
360
26
0.05 100 2
PRG
'"71"
The example is testing whether the sample KsDAT may be
fitted to a normal distribution with significance level 5%. ^
and a are estimates and r, number of estimates, is 2. Number
of values in the sample is 100.
5. Statistics
67
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