A null hypothesis is a statement about the value of a population parameter.It is usually the current thinking,or "status quo".
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Q15: The p-value of a test is the
Q16: If a null hypothesis is rejected at
Q17: A low p-value provides evidence for accepting
Q18: Type I errors are usually considered more
Q19: The analyst gets to choose the significance
Q21: A Q-Q plot can be used to
Q22: An example of a paired sample is
Q23: In conducting hypothesis testing for difference between
Q24: In statistical analysis,the burden of proof lies
Q25: The test statistic employed to test
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