Key Concepts

Review core concepts you need to learn to master this subject

One-Sample T-Tests

One-Sample T-Tests In Python

Binomial and T-Test Assumptions

Binomial Hypothesis Tests

Null and Alternative Hypotheses

P-Values

Simulating Hypothesis Tests

Binomial Tests in Python

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One-Sample T-Tests

One-sample t-tests are used compare a sample mean to an expected population mean. They are used for a sample of one quantitative variable. For example, we could use a one-sample t-test to determine if the average amount of time customers spend browsing a shoe boutique is longer than 10 minutes.

One-Sample T-Tests in SciPy
Lesson 1 of 3
  1. 1
    Introduction
    In this lesson, we’ll walk through the implementation of a one-sample t-test in Python. One-sample t-tests are used for comparing a sample average to a hypothetical population average. For exampl…
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  2. 2
    Implementing a One-Sample T-Test
    In the last exercise, we inspected a sample of 50 purchase prices at BuyPie and saw that the average was 980 Rupees. Suppose that we want to run a one-sample t-test with the following null and alte…
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  3. 3
    Assumptions of a One Sample T-Test
    When running any hypothesis test, it is important to know and verify the assumptions of the test. The assumptions of a one-sample t-test are as follows: - The sample was randomly selected from th…
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  4. 4
    Review
    Congratulations! You now know how to implement a one-sample t-test in Python and verify the assumptions of the test. To recap, here are some of the things you learned: - One-sample t-tests are use…
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