Consider the experimental results for the following randomized block design. Make the calculations necessary to set up the analysis of variance table.
Treatment | |||||||
A | B | C | |||||
1 | 10 | 10 | 9 | ||||
2 | 13 | 6 | 6 | ||||
Blocks | 3 | 18 | 16 | 15 | |||
4 | 21 | 18 | 19 | ||||
5 | 8 | 8 | 9 |
Use = .05 to test for any significant differences. Show entries to 2 decimals, if necessary. If your answer is zero enter "0".
Source of Variation | Sum of Squares | Degrees of Freedom | Mean Square | F |
Treatments | ||||
Blocks | ||||
Error | ||||
Total |
The p-value
is Selectless than .01between .01 and .025between .025 and
.05between .05 and .10greater than .10
What is your conclusion?
using excel data analysis tool for two factor anova, following
o/p Is obtained : write data>menu>data>data
analysis>anova :two factor without replication>enter required
labels>ok, and following o/p Is obtained,
Anova: Two-Factor Without Replication | ||||||
SUMMARY | Count | Sum | Average | Variance | ||
1 | 3 | 29 | 10 | 0.333 | ||
2 | 3 | 25 | 8 | 16.333 | ||
3 | 3 | 49 | 16 | 2.333 | ||
4 | 3 | 58 | 19 | 2.333 | ||
3 | 25 | 8 | 0.333 | |||
A | 5 | 70 | 14 | 29.500 | ||
B | 5 | 58 | 142 | 26.800 | ||
C | 5 | 58 | 134 | 27.800 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
treatment | 19.20 | 2 | 9.60 | 3.18 | 0.0962 | 4.46 |
block | 312.27 | 4 | 78.07 | 25.88 | 0.0001 | 3.84 |
Error | 24.13 | 8 | 3.02 | |||
Total | 355.60 | 14 |
0.05<p value<0.10
there is no significant difference
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