Answer:
The last choice would be the best because peak is high, and in the histogram, it means it is the highest point in the histogram and data. Hope ths helped!
Step-by-step explanation:
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Answer:
A. Valid
Step-by-step explanation:
The P-value is the probability of getting this result or sample statistic if the null hypothesis is true. That is why a low P-value (smaller than the significance level) is considered evidence to reject the null hypothesis, because the result has little probability of being due to chance.
The statement that the P-value is "the probability of getting results as extreme as or more extreme than the ones in this study if the drug is actually not effective" is valid, as the null hypothesis states generally the opposite of the objective of the study (demonstrate that the drug is effective), and the very low value of the P-value is indicative that this result, if the drug was not effective, has a very low probability.
