In hypothesis testing, if the test statistic is negative, this means the sample statistic is larger than the claimed population parameter. we call the initial claim being tested about the population an alternative hypothesis. it is not necessary to know the population size in order to compute the test statistic. the "P" in P-value stands for "personal." results that are statistically significant will always be practically important (or practically significant).
In hypothesis testing, if the test statistic is negative, this means the sample statistic is larger than the claimed population parameter. we call the initial claim being tested about the population an alternative hypothesis. it is not necessary to know the population size in order to compute the test statistic. the "P" in P-value stands for "personal." results that are statistically significant will always be practically important (or practically significant).
Chapter9: Sequences, Probability And Counting Theory
Section9.7: Probability
Problem 1SE: What term is used to express the likelihood of an event occurring? Are there restrictions on its...
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Transcribed Image Text:In hypothesis testing,
O if the test statistic is negative, this means the sample statistic is larger than the claimed population
parameter.
we call the initial claim being tested about the population an alternative hypothesis.
it is not necessary to know the population size in order to compute the test statistic.
the "P" in P-value stands for "personal."
results that are statistically significant will always be practically important (or practically significant).
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