So how do we actually decide whether the difference is large enough? We use statistical tests to calculate a p-value (probability) for the difference between the two groups we are comparing. In the beetle food preference experiment from above, it was found that beetles spend longer times with food #1 compared to food #2, and the p value for this difference was calculated to be 0.9. What does a p value of 0.9 mean here? There's a 9 (nine) % chance that the difference is due to actual beetle preference of food #1 over food #2. There's a 90% chance that the difference is due to chance, and not actual beetle preference of food #1 over food #2. There's a 90% chance that the difference is due to actual beetle preference of food #1 over food #2. There's a 9 (nine) % chance that the difference is due to chance, and not actual beetle preference of food
So how do we actually decide whether the difference is large enough? We use statistical tests to calculate a p-value (probability) for the difference between the two groups we are comparing. In the beetle food preference experiment from above, it was found that beetles spend longer times with food #1 compared to food #2, and the p value for this difference was calculated to be 0.9. What does a p value of 0.9 mean here? There's a 9 (nine) % chance that the difference is due to actual beetle preference of food #1 over food #2. There's a 90% chance that the difference is due to chance, and not actual beetle preference of food #1 over food #2. There's a 90% chance that the difference is due to actual beetle preference of food #1 over food #2. There's a 9 (nine) % chance that the difference is due to chance, and not actual beetle preference of food
Human Anatomy & Physiology (11th Edition)
11th Edition
ISBN:9780134580999
Author:Elaine N. Marieb, Katja N. Hoehn
Publisher:Elaine N. Marieb, Katja N. Hoehn
Chapter1: The Human Body: An Orientation
Section: Chapter Questions
Problem 1RQ: The correct sequence of levels forming the structural hierarchy is A. (a) organ, organ system,...
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So how do we actually decide whether the difference is large enough? We use statistical tests to calculate a p-value (probability) for the difference between the two groups we are comparing.
In the beetle food preference experiment from above, it was found that beetles spend longer times with food #1 compared to food #2, and the p value for this difference was calculated to be 0.9. What does a p value of 0.9 mean here?
There's a 9 (nine) % chance that the difference is due to actual beetle preference of food #1 over food #2.
There's a 90% chance that the difference is due to chance, and not actual beetle preference of food #1 over food #2.
There's a 90% chance that the difference is due to actual beetle preference of food #1 over food #2.
There's a 9 (nine) % chance that the difference is due to chance, and not actual beetle preference of food #1 over food #2.
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