RCBD with Sampling Pooling Experimental and Sampling Error
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1 RCBD with Sampling Pooling Experimental and Sampling Error As we had with the CRD with sampling, we will have a source of variation for sampling error. Calculation of the Experimental Error df is done the same way as if there was no sampling. Calculation of the Sampling Error df is done the same way as was done for the CRD with sampling. We will test the homogeneity of variance between the Experimental Error MS and the Sampling Error MS. If they are homogeneous a Pooled Error MS can be calculated and used as the denominator of the F-test on treatments. ANOVA Table Example SOV Df F Rep r-1 Rep MS/Pooled Error MS Trt t-1 Trt MS/Pooled Error MS Experimental Error (r-1)(t-1) Sampling Error (rts-1)-(tr-1) Total trs-1 Pooled Error MS Exp Error df + Sampling Error df Treatment Rep Sample A B C Y 11. =160 Y 1. =13 Y 31. =176 Y.1. = Y 1. =15 Y. =18 Y 3. =180 Y.. = Y 13. =164 Y 3. =130 Y 33. =186 Y.3. =480 Y i Y = 1408
2 Step 1. Calculate the Correction Factor (CF). Y... rts = (3)() = 110, Step. Calculate the Total SS: Total SS = Y ijk CF = ( ) = Step 3. Calculate the Replicate SS. CF Rep SS Y = ts. j. CF 468 = 3() () () CF = Step 4. Calculate the Treatment SS: Treatment SS Y = rs i.. CF 476 = 3() () () CF =
3 Step 5. Calculate the SS Among Experimental Units Total (SSAEUT) SS AEUT Y = s ij. CF 160 = CF = Step 6. Calculate the Experimental Error SS: Experimental Error SS = SAEUT SS TRT SS REP = = Step 7. Calculate the Sampling Error SS: Sampling Error SS = Total SS SSAEUT = = Step 8. Complete the ANOVA Table: SOV Df SS MS F Rep r-1= ns Trt t-1 = ** Experimental Error (r-1)(t-1) = Sampling Error (trs-1) - (tr-1) = Total trs-1 = Step 9. Test the homogeneity of variance between the Experimental and Sampling Error MS using the Folded F-test.
4 Step 9.1 Calculate the F-value using the Folded F-test F = = 0.67 Folded F = Sampling Error MS / Experimental Error MS Step 9. Look up the table F-value This F-test is a one-tail test because there is the expectation that the Experimental σ. Error MS ( σ + ) is going to be larger than the Sampling Error MS ( ) S sσ E Thus, if you are testing α = 0.01, then you need to use the F-table for α = 0.01 (Appendix Table IV, page 61). S = F ExptErrdf 0.01;4,9 = 6. 4 F 0.01,( )( SampErrdf ) Step 9.3 Make conclusions: Since the calculated value of F (0.67) is less than the Table-F value (6.4), we fail to reject H o : Sampling Error MS = Experimental Error MS at the 99% level of confidence. Therefore, we can calculate a Pooled Error MS Step 10: Calculate the Pooled Error df and the Pooled Error MS Pooled Error df = Sampling Error df + Experimental Error df = (9+4) = 13 Pooled Error MS = Sampling Error SS + Experimental Error SS Sampling Error df + Experimental Error df = =
5 Step 11: Complete the ANOVA using the Pooled Error MS as the denominator of the F- test SOV Df SS MS F Rep r-1= ns Trt t-1 = ** Experimental Error (r-1)(t-1) = Sampling Error (trs-1) - (tr-1) = Total trs-1 = Pooled Error Expt Error df + Samp Error df= Step 1. Calculate LSD. LSD TRT = t.05 PooledErrorMS rs =.16 (11.607) 3* = 4.4 Step 13. Compare treatment means Treatment B A C Mean 65.0 a 79.3 b 90.3 c
6 SAS for the RCBD with Sampling Commands options pageno=1; data rcbdsamp; input TRT $ Rep Sample Yield; datalines; A A 1 8 A 1 74 A 78 A A 3 84 B B 1 64 B 1 6 B 66 B B 3 60 C C 1 87 C 1 88 C 9 C C 3 96 ;; proc anova; class rep trt; model yield=rep trt rep*trt; *comment rep*trt is the experimental error; test h=rep trt e=rep*trt; means trt/lsd e=rep*trt; title 'RCBD with Sampling - Using the Experimental Error as the Denominator of the F-test'; run; proc anova; class rep trt; model yield=rep trt; *comment by leaving out the rep*trt term, you are allowing SAS to calculate the pooled error; means trt/lsd; title 'RCBD with Sampling - Using the Pooled Error as the Denominator of the F-test'; run;
7 01:30 Wednesday, December 05, RCBD with Sampling - Using the Pooled Error as the Denominator of the F-test Output Obs TRT Rep Sample Yield 1 A A A A 78 5 A A B B B B B B C C C C 9 17 C C 3 96
8 RCBD with Sampling - Using the Experimental Error as the Denominator of the F-test The ANOVA Procedure 01:30 Wednesday, December 05, Class Class Level Information Levels Values Rep TRT 3A B C Number of Observations Read 18 Number of Observations Used 18
9 01:30 Wednesday, December 05, RCBD with Sampling - Using the Experimental Error as the Denominator of the F-test The ANOVA Procedure Dependent Variable: Yield Source DF Sum of Squares Mean Square F Value Pr > F Model <.0001 Error Corrected Total R-Square Coeff Var Root MSE Yield Mean Source DF Anova SS Mean Square F Value Pr > F Rep TRT <.0001 Rep*TRT Tests of Hypotheses Using the Anova MS for Rep*TRT as an Error Term Source DF Anova SS Mean Square F Value Pr > F Rep TRT
10 RCBD with Sampling - Using the Experimental Error as the Denominator of the F-test The ANOVA Procedure t Tests (LSD) for Yield NoteThis test controls the Type I comparisonwise error rate, not the : experimentwise error rate. 01:30 Wednesday, December 05, Alpha 0.05 Error Degrees of Freedom 4 Error Mean Square 8. Critical Value of t Least Significant Difference Means with the same letter are not significantly different. t Grouping Mean N TRT A C B A C B
11 RCBD with Sampling - Using the Pooled Error as the Denominator of the F-test The ANOVA Procedure 01:30 Wednesday, December 05, Class Class Level Information Levels Values Rep TRT 3A B C Number of Observations Read 18 Number of Observations Used 18
12 01:30 Wednesday, December 05, RCBD with Sampling - Using the Pooled Error as the Denominator of the F-test The ANOVA Procedure Dependent Variable: Yield Source DF Sum of Squares Mean Square F Value Pr > F Model <.0001 Error Corrected Total R-Square Coeff Var Root MSE Yield Mean Source DF Anova SS Mean Square F Value Pr > F Rep TRT <.0001
13 RCBD with Sampling - Using the Pooled Error as the Denominator of the F-test Dependent Variable: Yield The ANOVA Procedure 01:30 Wednesday, December 05, NoteThis test controls the Type I comparisonwise error rate, not the : experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 13 Error Mean Square Critical Value of t Least Significant Difference Means with the same letter are not significantly different. t Grouping Mean N TRT A C B A C B
RANDOMIZED COMPLETE BLOCK DESIGN (RCBD) Probably the most used and useful of the experimental designs.
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