Lesson 3.2: Z-test and Z-statistics

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What is the function of a critical value in hypothesis testing?

Identifying if the result is statistically significant for the null hypothesis to be rejected.

How is the decision to reject the null hypothesis made based on the test statistic?

If the computed value of the test statistic falls into the critical (rejection) region.

What is the purpose of a p-value in hypothesis testing?

Measuring the probability of obtaining observed results assuming the null hypothesis is true.

When is the null hypothesis rejected based on the p-value?

If the p-value is less than or equal to a specified level of significance α.

What is another term for the critical region in hypothesis testing?

Rejection region

What type of distribution does the z-statistic follow in a z-test?

Normal distribution

When is a z-test considered best to be used?

For sample sizes greater than 30

What does a z-score represent?

The number of standard deviations above or below the mean population

In what type of test are t-tests best performed?

For small sample sizes

What is the measurement of statistical significance in hypothesis testing?

Level of significance

Learn about the z-test, a type of hypothesis test that follows a normal distribution, and understand how z-statistics or z-scores represent the number of standard deviations above or below the mean population score.

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