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SPSS (17.0) software [ 21] was used for data analysis, and a statistically significant difference between means was set at the 0.05 level.
The rejection level for tests of significance among means was set at P ≤ 0.20 as recommended by FAO (Annicchiarico 2002) to control and achieve a better balance between type I and type II error rates for such experiments (variety trials with large numbers of entries).
For Klason lignin and enzymatic saccharification analyses, LS means for mutant and check lines were generated and compared using the LSMEANS/DIFF statement, and significance level for tests among means was set at P ≤ 0.05 because of the smaller number of entries.
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And to your point, what happens is the skill; the degree of skill defines where our means are set.
We recommend that run charts or other means be set up to give operators' feedback on the success of their previous efforts (to encourage individual learning).
Significant differences between means were set at the p < 0.05 level.
Population means were set to zero and population variance to one for both variables.
Clock means were set to uniform with a large upper bound.
Similarly, phenotypic mean was set to μA a+μB (1-a) when simulating continuous traits.
Thus, the model's mean was set to 5% and the standard deviation was set to 5% (two-tailed normal distribution).
The number of HPFs required to reduce the sample mean to within 10% of the overall sample mean was set as the efficiency threshold for the analysis.
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CEO of Professional Science Editing for Scientists @ prosciediting.com