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aaronreidsmith / scipy   python

Repository URL to install this package:

Version: 1.3.3 

/ stats / tests / data / nist_anova / SmLs04.dat

NIST/ITL StRD 
Dataset Name:   SmLs04   (SmLs04.dat)


File Format:    ASCII
                Certified Values   (lines 41 to 47)
                Data               (lines 61 to 249) 


Procedure:      Analysis of Variance


Reference:      Simon, Stephen D. and Lesage, James P. (1989).
                "Assessing the Accuracy of ANOVA Calculations in
                Statistical Software".
                Computational Statistics & Data Analysis, 8, pp. 325-332.


Data:           1 Factor
                9 Treatments
                21 Replicates/Cell
                189 Observations
                7 Constant Leading Digits
                Average Level of Difficulty
                Generated Data


Model:          10 Parameters (mu,tau_1, ... , tau_9)
                y_{ij} = mu + tau_i + epsilon_{ij}






Certified Values:

Source of                  Sums of               Mean               
Variation          df      Squares              Squares             F Statistic

Between Treatment   8 1.68000000000000E+00 2.10000000000000E-01 2.10000000000000E+01
Within Treatment  180 1.80000000000000E+00 1.00000000000000E-02

                  Certified R-Squared 4.82758620689655E-01

                  Certified Residual
                  Standard Deviation  1.00000000000000E-01












Data:  Treatment   Response
           1       1000000.4
           1       1000000.3
           1       1000000.5
           1       1000000.3
           1       1000000.5
           1       1000000.3
           1       1000000.5
           1       1000000.3
           1       1000000.5
           1       1000000.3
           1       1000000.5
           1       1000000.3
           1       1000000.5
           1       1000000.3
           1       1000000.5
           1       1000000.3
           1       1000000.5
           1       1000000.3
           1       1000000.5
           1       1000000.3
           1       1000000.5
           2       1000000.3
           2       1000000.2
           2       1000000.4
           2       1000000.2
           2       1000000.4
           2       1000000.2
           2       1000000.4
           2       1000000.2
           2       1000000.4
           2       1000000.2
           2       1000000.4
           2       1000000.2
           2       1000000.4
           2       1000000.2
           2       1000000.4
           2       1000000.2
           2       1000000.4
           2       1000000.2
           2       1000000.4
           2       1000000.2
           2       1000000.4
           3       1000000.5
           3       1000000.4
           3       1000000.6
           3       1000000.4
           3       1000000.6
           3       1000000.4
           3       1000000.6
           3       1000000.4
           3       1000000.6
           3       1000000.4
           3       1000000.6
           3       1000000.4
           3       1000000.6
           3       1000000.4
           3       1000000.6
           3       1000000.4
           3       1000000.6
           3       1000000.4
           3       1000000.6
           3       1000000.4
           3       1000000.6
           4       1000000.3
           4       1000000.2
           4       1000000.4
           4       1000000.2
           4       1000000.4
           4       1000000.2
           4       1000000.4
           4       1000000.2
           4       1000000.4
           4       1000000.2
           4       1000000.4
           4       1000000.2
           4       1000000.4
           4       1000000.2
           4       1000000.4
           4       1000000.2
           4       1000000.4
           4       1000000.2
           4       1000000.4
           4       1000000.2
           4       1000000.4
           5       1000000.5
           5       1000000.4
           5       1000000.6
           5       1000000.4
           5       1000000.6
           5       1000000.4
           5       1000000.6
           5       1000000.4
           5       1000000.6
           5       1000000.4
           5       1000000.6
           5       1000000.4
           5       1000000.6
           5       1000000.4
           5       1000000.6
           5       1000000.4
           5       1000000.6
           5       1000000.4
           5       1000000.6
           5       1000000.4
           5       1000000.6
           6       1000000.3
           6       1000000.2
           6       1000000.4
           6       1000000.2
           6       1000000.4
           6       1000000.2
           6       1000000.4
           6       1000000.2
           6       1000000.4
           6       1000000.2
           6       1000000.4
           6       1000000.2
           6       1000000.4
           6       1000000.2
           6       1000000.4
           6       1000000.2
           6       1000000.4
           6       1000000.2
           6       1000000.4
           6       1000000.2
           6       1000000.4
           7       1000000.5
           7       1000000.4
           7       1000000.6
           7       1000000.4
           7       1000000.6
           7       1000000.4
           7       1000000.6
           7       1000000.4
           7       1000000.6
           7       1000000.4
           7       1000000.6
           7       1000000.4
           7       1000000.6
           7       1000000.4
           7       1000000.6
           7       1000000.4
           7       1000000.6
           7       1000000.4
           7       1000000.6
           7       1000000.4
           7       1000000.6
           8       1000000.3
           8       1000000.2
           8       1000000.4
           8       1000000.2
           8       1000000.4
           8       1000000.2
           8       1000000.4
           8       1000000.2
           8       1000000.4
           8       1000000.2
           8       1000000.4
           8       1000000.2
           8       1000000.4
           8       1000000.2
           8       1000000.4
           8       1000000.2
           8       1000000.4
           8       1000000.2
           8       1000000.4
           8       1000000.2
           8       1000000.4
           9       1000000.5
           9       1000000.4
           9       1000000.6
           9       1000000.4
           9       1000000.6
           9       1000000.4
           9       1000000.6
           9       1000000.4
           9       1000000.6
           9       1000000.4
           9       1000000.6
           9       1000000.4
           9       1000000.6
           9       1000000.4
           9       1000000.6
           9       1000000.4
           9       1000000.6
           9       1000000.4
           9       1000000.6
           9       1000000.4
           9       1000000.6