If the null hypothesis is false, but we fail to reject it, what type of error have we made?
- Both Type I and Type II error
- Neither Type I nor Type II error
- Type I error
- Type II error
If the null hypothesis is false, but we fail to reject it, we have made a Type II error. This is also known as a "false negative" result.
Loading...
Related Quiz
- What is the skewness value for a perfect normal distribution?
- What is the concept of "Type I" error in the context of hypothesis testing?
- Bayes' theorem is a fundamental principle underlying ________ learning.
- If all the values in a dataset are identical, what would be the variance and standard deviation?
- How does the presence of outliers affect measures of dispersion like range, variance, and standard deviation?