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Chute ‘n the Bull
Marketing of these new products will often include pictures, testimonials and some form of numerical data. Naturally, the numerical data will show an advantage to using the new product. However, it is very important to know some things about the numbers. The most important thing to know is whether or not the numbers are statistically significant. I won't go into an in-depth lesson on statistics, but here are some basics that need to be considered. Was the study replicated? We all know there is variability in biological systems. Replication allows an experiment to be conducted in a way that accounts for natural variability. This way we can have a certain degree of assurance the difference observed is real and not just due to natural variability. Was the study conducted one year or over multiple years? Again, there is variability from year to year. We want some degree of assurance that the product will work every year and not just once in a while when conditions are just right. Was the study done in an environment similar to yours? Even if it was properly replicated over multiple years, results may be completely different in a field or laboratory far from your location. What works in the Panhandle of Oklahoma may not work on the Gulf Coast of Texas and vice versa. Was the study statistically analyzed? If so, look for a least significant difference (LSD) value. This is, as the name implies, the least numerical difference between any two treatments that is significant. Differences between product A and product B that are less than the LSD are not significant, and we cannot say with confidence that A and B are truly different from each other. Likewise, differences between product A and product B that are greater than the LSD are significant, and we can say with a degree of confidence that A and B are truly different from each other. Whether you are looking at different wormers, pesticides or any other input, look for replicated data from multiple locations and multiple years in environments similar to yours that show they have been statistically analyzed. Only then can you be confident that the new product will work for you. . You can find this and past articles on the web at www.mycountrytractor. blogspot.com for your reference. |
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