Imagine you are performing an experiment on the growth of aspen seedlings under different temperature conditions to better understand how aspen forests may be impacted by changes to the climate. In your experiment, aspen seedlings are grown in a temperature controlled greenhouse at either 20° C or 30° C. Seedlings are measured for height and number of new leaves on a weekly basis. Your hypotheses are as follows: Alternative hypothesis: Temperature influences how quickly aspen seedlings grow. Null hypothesis: Temperature has no impact on how quickly aspen seedlings grow. You perform a t-test to compare the average weekly growth for seedlings in the 20° C treatment versus the 30° C treatment. You get a p-value of 0.03. How likely is it that the difference between the two averages was due to random chance? What does this information tell you about your hypotheses?
Imagine you are performing an experiment on the growth of aspen seedlings under different temperature conditions to better understand how aspen forests may be impacted by changes to the climate.
In your experiment, aspen seedlings are grown in a temperature controlled greenhouse at either 20° C or 30° C. Seedlings are measured for height and number of new leaves on a weekly basis.
Your hypotheses are as follows:
Alternative hypothesis: Temperature influences how quickly aspen seedlings grow.
Null hypothesis: Temperature has no impact on how quickly aspen seedlings grow.
You perform a t-test to compare the average weekly growth for seedlings in the 20° C treatment versus the 30° C treatment. You get a p-value of 0.03.
How likely is it that the difference between the two averages was due to random chance?
What does this information tell you about your hypotheses?
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