In hypothesis testing, if the test statistic is negative, this means the sample statistic is larger than the claimed population parameter. O we call the initial claim being tested about the population an alternative hypothesis. the "P" in P-value stands for "personal." O it is necessary to know the population size in order to compute the test statistic. O results that are statistically significant may or may not be practically important (or practically significant).

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In hypothesis testing,
if the test statistic is negative, this means the sample statistic is larger than the claimed population parameter.
O we call the initial claim being tested about the population an alternative hypothesis.
the "P" in P-value stands for "personal."
O it is necessary to know the population size in order to compute the test statistic.
O results that are statistically significant may or may not be practically important (or practically significant).
Transcribed Image Text:In hypothesis testing, if the test statistic is negative, this means the sample statistic is larger than the claimed population parameter. O we call the initial claim being tested about the population an alternative hypothesis. the "P" in P-value stands for "personal." O it is necessary to know the population size in order to compute the test statistic. O results that are statistically significant may or may not be practically important (or practically significant).
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