# Hypothesis testing: Testing a Sample Statistic

Learn about hypothesis testing and implement binomial and one-sample t-tests in Python.

Start## Key Concepts

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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

One-Sample T-Tests

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.

- 1In 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… - 2In 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…
- 3When 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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