1999 Annual Report
Purdue University Turfgrass Science Program
In this book, you may see pesticide use in research reports that do not conform to the pesticide label. These uses are not provided as recommendations. It is the responsibility of the pesticide applicator, by law, to follow current label directions for the specific pesticide being used. No endorsement is intended for products mentioned, nor criticism of products not mentioned. The authors, Purdue University, and the Midwest Regional Turf Foundation assume no liability from misuse of pesticide applications detailed in this report. The Agricultural Experiment Station of Purdue University is an equal action/equal opportunity institution.
Understanding the Data
Most of the data presented in this report was subjected to statistical analysis. Statistical procedures are a combination of logic and arithmetic that allow us to interpret information gathered from experiments. We most frequently use a Least Significant Difference Test to explain our test data.
Fishers Least Significant Difference (LSD) Test is a statistical procedure that determines if the difference found between two treatments is due to the treatment or if the difference is simply due to random chance. For each set of data, a value termed the LSD is calculated at a chosen level of significance. If the difference between two treatment means is greater than this calculated value then it is said to be a significant difference or a difference not due to random chance. The level of significance that we use most often is 0.05 (LSD0.05). In other words, this difference will occur 95% of the time these treatments are compared. If NS is reported at the bottom of a column of means, then no significant difference was found among the means in this group of data at a probability = 0.05.
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Department of Agronomy, Turf Program