The Chi-Squared goodness of fit test.
procedure GOFChi2Test(const O: TVec; const E: TVec; NumSamples: Integer; DegF: Integer; out hRes: THypothesisResult; out Signif: double; hType: THypothesisType = htTwoTailed; Alpha: double = 0.05); overload;
|
Parameters |
Description |
|
O |
Observed frequencies. |
|
E |
Estimated (theoretical) frequencies. |
|
NumSamples |
Number of samples in original data vector. |
|
DegF |
Degrees of freedom for Chi2 statistics. |
|
hRes |
Returns the result of the null hypothesis (default assumption is that data comes from specific distribution). |
|
Signif |
(Significance level) returns the probability of observing the given result by chance given that the null hypothesis is true. |
|
hType |
Defines the type of the null hypothesis (left, right and two - tailed). |
|
Alpha |
Defines the desired significance level. If the significance probability (Signif) is bellow the desired significance (Alpha), the null hypothesis is rejected. |
Performs the Chi-squared goodness of fit test to test if data is coming from specific distribution.
|
Copyright (c) 1999-2025 by Dew Research. All rights reserved.
|
|
What do you think about this topic? Send feedback!
|
File