The p-value is the [ Select ] ["probability you get the sample statistic or more extreme if the null hypothesis is true", "the maximum probability allowed for the sample statistic to be considered unusual"] . The p-value is represented by the area in the tail(s) to the extreme of the [ Select ] ["critical value(s)", "test statistic(s)"] . The significance level, α, is the [ Select ] ["the maximum probability allowed for the sample statistic to be considered unusual", "probability you get the sample statistic or more extreme if the null hypothesis is true"] . The significance level is represented by the area in the tail(s) to the extreme of the [ Select ] ["test statistic(s)", "critical value(s)"] . To find the [ Select ] ["p-value", "significance level"] , you start with finding the test statistic from the sample. To find the critical value(s), you start with the [ Select ] ["p-value", "significance level"] and locate the cut-offs in the z (or t) distribution that cut-off that area in the specified tail(s).
1. The p-value is the [ Select ] ["probability you get the sample statistic or more extreme if the null hypothesis is true", "the maximum probability allowed for the sample statistic to be considered unusual"] . The p-value is represented by the area in the tail(s) to the extreme of the [ Select ] ["critical value(s)", "test statistic(s)"] .
The significance level, α, is the [ Select ] ["the maximum probability allowed for the sample statistic to be considered unusual", "probability you get the sample statistic or more extreme if the null hypothesis is true"] . The significance level is represented by the area in the tail(s) to the extreme of the [ Select ] ["test statistic(s)", "critical value(s)"] .
To find the [ Select ] ["p-value", "significance level"] , you start with finding the test statistic from the sample.
To find the critical value(s), you start with the [ Select ] ["p-value", "significance level"] and locate the cut-offs in the z (or t) distribution that cut-off that area in the specified tail(s).
Step by step
Solved in 2 steps with 2 images
