Move the slider for prop to change the population proportion.[br]Move the slider for size to change the sample size.[br]Move the slider for α to change the level of significance/confidence.[br]Move the type slider to select the test type: left-tailed, right-tailed, or two-tailed.[br]Move the P-value/Critical Value slider to change from the P-value[br]approach to the critical value approach, or visa versa.[br][br]Move the successes slider to see how the conclusion changes [br]as the number of successes changes.

The P-value is the probability of obtaining a test statistic as extreme [br]as the one for the current sample under the assumption that the [br]null hypothesis is true.[br][br]For a one-tailed test, the critical value is the standard score such that [br]the area in the tail on the opposite side of the critical value from zero [br]equals the corresponding significance level, α . For a two-tailed test[br]there is a negative critical value and a positive critical value. The [br]negative critical value is the standard score such that the area in the[br]tail below it equals α divided by two. The positive critical value is the[br]opposite of the negative critical value.