In hypothesis testing, ANOVA, and regression, the p-value is O The probability that: the difference between...

  

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In hypothesis testing, ANOVA, and regression, the p-value is O The probability that: the difference between the estimate and the benchmark or the difference between the estimates is not due to random sampling error; there is at least one estimate that is different from the others; there is at least one predictor coefficient that is not zero, and a specific predictor coefficient is not zero O The probability that: the difference between the estimate and the benchmark or the difference between the estimates is due to random sampling error; there are differences between the estimates; there are no predictor coefficients that are not zero, and a specific predictor coefficient is not zero ○ Is always smaller than alpha O Is used in calculating R Square O All of the above O None of the above In hypothesis testing, ANOVA, and regression, the p-value is O The probability that: the difference between the estimate and the benchmark or the difference between the estimates is not due to random sampling error; there is at least one estimate that is different from the others; there is at least one predictor coefficient that is not zero, and a specific predictor coefficient is not zero O The probability that: the difference between the estimate and the benchmark or the difference between the estimates is due to random sampling error; there are differences between the estimates; there are no predictor coefficients that are not zero, and a specific predictor coefficient is not zero ○ Is always smaller than alpha O Is used in calculating R Square O All of the above O None of the above

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The correct answer is None of the above The pvalue is the probability of observing a test statistic ... View the full answer