Suppose we wanted to know whether the yellow-green morph produced more seeds than the standard green morph under the best possible conditions. We have data on the average number of... Suppose we wanted to know whether the yellow-green morph produced more seeds than the standard green morph under the best possible conditions. We have data on the average number of seeds produced by each morph in each treatment. Which data set would we use? What is the null hypothesis for the experimental test described?
Understand the Problem
The question is asking which dataset should be used to compare the seed production of yellow-green morphs versus standard green morphs under optimal conditions, as well as what the null hypothesis would be for this test. This is focused on experimental design and statistical hypothesis testing.
Answer
Use the data set for the best conditions; null hypothesis: equal average seed production.
The relevant data set would be the one representing the average number of seeds per plant for each morph under the treatment that represents the best possible conditions. The null hypothesis is that the average number of seeds produced by the yellow-green morph is equal to the average number of seeds produced by the standard green morph under the best possible conditions.
Answer for screen readers
The relevant data set would be the one representing the average number of seeds per plant for each morph under the treatment that represents the best possible conditions. The null hypothesis is that the average number of seeds produced by the yellow-green morph is equal to the average number of seeds produced by the standard green morph under the best possible conditions.
More Information
Under optimal conditions, conducting experiments can offer insight into the comparative advantage of different morphs, here investigating seed yield differences.
Tips
A common mistake is failing to use the data from the best possible conditions, since this is required to test the hypothesis accurately.
Sources
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