What is the p value for a test of hypothesis The p value is a single number calculated from the sample data The p value is the probability of observing a test statistic as extreme as or more extreme than the observed value, if in fact H 0 is true The p value is the actual risk of committing a Type II error, if H 0 is rejected based on the observed value of the test statistic The p value is the probability of observing a test statistic as extreme as or more extreme than the observed value, regardless of whether or not H 0 is true The p value is the maximum tolerable risk of incorrectly rejecting H 0 How is it calculated for a large sample test Divide the sample standard deviation by the square root of the sample size Find the area in the tail beyond the test statistic If the test is one sided, this is the p value If the test is two sided, this is half the p value and must be doubled Find the area in the tail beyond the test statistic If the test is one sided, this is half the p value and must be doubled If the test is two sided, this is the p value Divide the difference between the sample mean and population mean by the standard error Use a table to find the test statistic corresponding to the assigned alpha level

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What is the p -value for a test of hypothesis? The p -value is a single number calculated from the sample data. The p -value

What is thep-value for a test of hypothesis?

Thep-value is a single number calculated from the sample data.

Thep-value is the probability of observing a test statistic as extreme as or more extreme than the observed value, if in factH₀is true.

Thep-value is the actual risk of committing a Type II error, ifH₀is rejected based on the observed value of the test statistic.

Thep-value is the probability of observing a test statistic as extreme as or more extreme than the observed value, regardless of whether or notH₀is true.

Thep-value is the maximum tolerable risk of incorrectly rejectingH₀.

How is it calculated for a large-sample test?

Divide the sample standard deviation by the square root of the sample size.

Find the area in the tail beyond the test statistic. If the test is one-sided, this is thep-value. If the test is two-sided, this is half thep-value and must be doubled.

Find the area in the tail beyond the test statistic. If the test is one-sided, this is half thep-value and must be doubled. If the test is two-sided, this is thep-value.

Divide the difference between the sample mean and population mean by the standard error.

Use a table to find the test statistic corresponding to the assigned alpha level.