Hypothesis Testing
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What’s Included
Calculating Normal Probabilities
Calculating Normal Probabilities
An important skill in hypothesis testing is being able to identify probabilities from a distribution. In this lesson, we'll learn how to calculate probabilities using a normal distribution, which is used in many hypothesis tests.
Setting Up a Hypothesis Test
Setting Up a Hypothesis Test
In our first lesson on hypothesis testing, we learn about all the important concepts involved in a hypothesis test, such as null and alternative hypotheses, the distinction between one-sided and two-sided tests, and selecting a significance level.
Running a Hypothesis Test
Running a Hypothesis Test
Having set up a hypothesis test in the previous lesson, we learn how to conduct a Z-test for the mean in this lesson, focusing on concepts such as calculating a test statistic, determining a p-value, and how to formulate a conclusion.
Running a T-Test for the Mean
Running a T-Test for the Mean
When conducting a hypothesis test, our data usually only relates to a small sample of the population. In this lesson, we demonstrate a t-test for the mean, which is a hypothesis test that can be used when this is the case.
Testing a Hypothesis for a Proportion
Testing a Hypothesis for a Proportion
The simplest hypothesis tests focus on testing the value of a mean, but other parameters may be of interest to us. Learn how to conduct a Z-test for a proportion in this lesson.
Using the Two-Sample T-Test
Using the Two-Sample T-Test
Sometimes we want to conduct a hypothesis test for more than one mean. This lesson demonstrates the two-sample t-test, which can be used to test the difference between two means.
Testing the Difference Between Variances
Testing the Difference Between Variances
In addition to testing the difference between two means, we may want to test the difference between two variances. This lesson demonstrates a hypothesis test that can be used for this purpose.
Calculating Sum of Squares in ANOVA
Calculating Sum of Squares in ANOVA
Analysis of Variance, or ANOVA, allows us to test if three or more means are equal. In this lesson, we'll demonstrate the sum of squares calculations that are necessary in this test.
Running an Analysis of Variance (ANOVA)
Running an Analysis of Variance (ANOVA)
Having calculated the sum of squares in the previous lesson, this lesson focuses on running the ANOVA hypothesis test that will tell us if three populations have the same mean.
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