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In a hypothesis test for population proportion, you calculated the p-value is 0.01 for the test statistic, which is a correct statement of the p-value?Group of answer choicesa)The p-value indicates that it is very rare to observe a test statistics equally or more extreme when the null hypothesis is true.b)The p-value indicates that it is very likely to observe a test statistics equally or more extreme when the null hypothesis is true.c)The p-value is calculated assuming the alternative is true.

Sagot :

a) The p-value indicates that it is very rare to observe a test statistics equally or more extreme when the null hypothesis is true.

What is null hypothesis?

A null hypothesis is a claim or presumption that there is no association between two observed variables or that observed differences between groups are the result of chance. It is frequently employed in statistical testing, and it is represented by the symbol "H0". The null hypothesis is often the inverse of the alternative hypothesis, which posits a link or difference between the variables. To reject the null hypothesis, the observed data must be statistically significant and unlikely to have occurred by chance. In scientific research, the null hypothesis is crucial because it enables researchers to assess the significance of their data and reach reliable conclusions.

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