The 10 Most Frequently Asked Artificial Intelligence Interview Questions

It can be called a false positive since it rejects the correct null hypothesis. This error generally happens when there's a high probability of making this type of error as the level of significance, thus claiming something happened when it hasn't. This accepts the false null hypothesis. The probability of making this type of error is based on population variance and sample size. This type of error is likely to happen when there's a difficult topic to test due to high variability and hard sampling.