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A p-value is the A.) probability, when the null hypothesis is true, of obtaining a sample...

A p-value is the A.) probability, when the null hypothesis is true, of obtaining a sample result that is at least as unlikely as what is observed B.) probability of a Type II error C.) value of the test statistic D.) probability corresponding to the critical value(s) in a hypothesis test

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A p-value is the

- A.) probability, when the null hypothesis is true, of obtaining a sample result that is at least as unlikely as what is observed

In hypothesis testing, p-value helps to determine the significance of the results. smaller p value indicates null hypothesis is wrong

It is the probability that, If the null hypothesis were true, sampling variation will produce an estimate which is further away from the hypothesised value.

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