Зміст курсу
Learning Statistics with Python
2. Mean, Median and Mode with Python
4. Covariance vs Correlation
Learning Statistics with Python
Paired t-test
The following function conducts a paired t-test:
This process resembles the one used for independent samples, but here we do not need to check the homogeneity of variance. The paired t-test explicitly does not assume that variances are equal.
Keep in mind that for a paired t-test, it's crucial that the sample sizes are equal.
With this information in mind, you can proceed to the task of conducting a paired t-test.
Here, you have data regarding the number of downloads for a particular app. Take a look at the samples: the mean values are nearly identical.
Завдання
We establish the hypotheses:
- H₀: The mean number of downloads before and after the changes is the same;
- Hₐ: The mean number of downloads is greater after the modifications.
Conduct a paired t-test with this alternative hypothesis, using before
and after
as the samples.
Все було зрозуміло?
Зміст курсу
Learning Statistics with Python
2. Mean, Median and Mode with Python
4. Covariance vs Correlation
Learning Statistics with Python
Paired t-test
The following function conducts a paired t-test:
This process resembles the one used for independent samples, but here we do not need to check the homogeneity of variance. The paired t-test explicitly does not assume that variances are equal.
Keep in mind that for a paired t-test, it's crucial that the sample sizes are equal.
With this information in mind, you can proceed to the task of conducting a paired t-test.
Here, you have data regarding the number of downloads for a particular app. Take a look at the samples: the mean values are nearly identical.
Завдання
We establish the hypotheses:
- H₀: The mean number of downloads before and after the changes is the same;
- Hₐ: The mean number of downloads is greater after the modifications.
Conduct a paired t-test with this alternative hypothesis, using before
and after
as the samples.
Все було зрозуміло?