A significance level is a critical probability associated with a statistical hypothesis test that indicates how likely it is that an inference supporting a difference between an observed value and some statistical expectation is true.
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Q12: The exact point where the hypothesis changes
Q13: The researcher's hypothesis is generally stated in
Q14: You have not made a mistake if
Q15: In hypothesis testing,the values of t that
Q16: The scale of measurement used by the
Q18: Nominal scales typically use parametric statistical tests.
Q19: The researcher using sampling runs the risk
Q20: In hypothesis testing,the symbol typically used to
Q21: A hypothesis test of a proportion is
Q22: The two types of errors researcher run
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