What are the limitations of using mean as a measure of central tendency?
- It can't be used with large data sets
- It can't be used with small data sets
- It is difficult to calculate
- It is highly sensitive to outliers
The main limitation of the mean as a measure of central tendency is that it is highly sensitive to outliers or extreme values. An outlier can skew the mean and make it a less accurate representation of the data. Moreover, mean does not describe the middle value or most common value in the dataset, which are often important characteristics.
Loading...
Related Quiz
- How does the variability of the population affect the width of a confidence interval?
- How many groups or variables does a one-way ANOVA test involve?
- If we want to reduce both Type I and Type II errors, we could increase the ______.
- When two or more independent variables in a regression model are highly correlated, it's known as ________.
- Which type of test is the Sign Test: parametric or non-parametric?