Math.NET Numerics
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81 lines
3.8 KiB

NIST/ITL StRD
Dataset Name: SmLs04 (SmLs04t.dat)
File Format: ASCII
Certified Values (lines 41 to 47)
Data (lines 61 to 81)
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
1 2 3 4 5 6 7 8 9
1000000.4 1000000.3 1000000.5 1000000.3 1000000.5 1000000.3 1000000.5 1000000.3 1000000.5
1000000.3 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4
1000000.5 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6
1000000.3 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4
1000000.5 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6
1000000.3 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4
1000000.5 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6
1000000.3 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4
1000000.5 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6
1000000.3 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4
1000000.5 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6
1000000.3 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4
1000000.5 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6
1000000.3 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4
1000000.5 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6
1000000.3 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4
1000000.5 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6
1000000.3 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4
1000000.5 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6
1000000.3 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4 1000000.2 1000000.4
1000000.5 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6 1000000.4 1000000.6