A study of two types of weed killers was done on two identical weed plots. One weed killer killed 15% more weeds than the other. This difference was significant at the 0.05 level. What does this mean?

A. The improvement was due to the fact that there were more weeds in one study.
B. The probability that the difference was due to chance alone is greater than 0.05.
C. The probability that one weed killer performed better by chance alone is less than 0.05.
D. There is not enough information to make any conclusion.

Is it D?

Sorry nobody helped wish I could've helped you out I think it's a or d

No, the correct answer is C. The statement "The probability that one weed killer performed better by chance alone is less than 0.05" accurately describes what it means when a difference is considered significant at the 0.05 level.

In statistical hypothesis testing, the 0.05 level (also known as the alpha level or significance level) is commonly used as a threshold to determine if a result is statistically significant. It represents the maximum probability that a difference is due to chance alone.

So, when it is stated that the difference in weed killer effectiveness was significant at the 0.05 level, it means that the probability of the observed difference occurring by chance alone (without any real difference between the weed killers) is less than 0.05. Hence, it supports the notion that one weed killer performed better than the other.