The math behind distribution tables is complicated. Does SAS University Edition provide the means to calculate such values without specifying all the mathematical details in a program.
For example calculate the critical value or Inverse Cumulative Probability for F distribution (for 2-Way ANOVA) given Numerator degrees of freedom = xx, Denominator degrees of freedom = xx, alpha = 0.05 (input constant = 0.95). Can you point me to a code example?
thanks,
Alexim
Check the functions under the probability section:
@alexim wrote:
The math behind distribution tables is complicated. Does SAS University Edition provide the means to calculate such values without specifying all the mathematical details in a program.
For example calculate the critical value or Inverse Cumulative Probability for F distribution (for 2-Way ANOVA) given Numerator degrees of freedom = xx, Denominator degrees of freedom = xx, alpha = 0.05 (input constant = 0.95). Can you point me to a code example?
thanks,
Alexim
Check the functions under the probability section:
@alexim wrote:
The math behind distribution tables is complicated. Does SAS University Edition provide the means to calculate such values without specifying all the mathematical details in a program.
For example calculate the critical value or Inverse Cumulative Probability for F distribution (for 2-Way ANOVA) given Numerator degrees of freedom = xx, Denominator degrees of freedom = xx, alpha = 0.05 (input constant = 0.95). Can you point me to a code example?
thanks,
Alexim
Thanks, haven't found exactly what I'm looking for but you've got me headed in the right direction I believe.
Alexim
You want the Quantile function then 🙂
data demo;
CriticalValueNormal = quantile('Normal', 0.025);
CriticalValueF = quantile('F', 0.025, 2, 3);
run;
proc print data=demo;
run;
https://communities.sas.com/t5/General-SAS-Programming/alpha-and-z-value/td-p/254023
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