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You would need to tell us about the data, the hypothesis and so on for us to be able to answer.
Since you did not tell us what Maria's hypothesis was or how she tested it, we cannot provide an answer.
A p-value is the probability of obtaining a test statistic as extreme or more extreme than the one actually obtained if the null hypothesis were true. If this p-value is less than the level of significance (usually set by the experimenter as .05 or .01), we reject the null hypothesis. Otherwise, we retain the null hypothesis. Therefore, a p-value of 0.66 tell us not to reject the null hypothesis.
If the conclusion you draw from the data supports your hypothesis.
It means tell them how your hypothesis was right or not.
In statistics, we have to test the hypothesis i.e., null hypothesis and alternative hypothesis. In testing, most of the time we reject the null hypothesis, then using this power function result, then tell what is the probability to reject null hypothesis...
A hypothesis is basically an educated guess.... so if someone asked you how tall a person is, you would give them a "hypothesis"( an educated guess ) like he or she is 6 foot 1 inch where as if the person you are talking to had seen that hypothesis figure he would tell you that he or she is 5 foot 9 inches tall.
It tells us that H1,H0 (alternative )hypothesis is selected
The conclusions tell why the data support or reject the hypothesis.
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the hypothesis
Your question doesn't make much sense. Rephrase it, and this time, you have to tell us what the test/experiment your are running is, and the problem/ qusetion that you are trying to answer. Then we can definently help you.