How does standardization (z-score) affect the distribution of data?
- It doesn't affect the shape of the distribution
- It makes the distribution normal
- It makes the distribution uniform
- It skews the distribution
Standardization does not change the shape of the distribution of the feature; rather, it standardizes the scale. This means that it doesn't change the distribution's skewness or kurtosis but it does center the data around zero with a standard deviation of 1.
Loading...
Related Quiz
- You're working with a data set where a few observations are vastly different from the rest. Which method, Z-score or IQR, would be more robust to use for outlier detection?
- What potential issues can arise when identifying outliers using a histogram?
- Consider a scatter plot displaying a tight, downward sloping distribution of points. What can be inferred about the relationship between the two plotted variables?
- Which Python visualization library would be most suited to creating a complex, layered, "small multiple" style plot?
- Outliers can make a histogram appear ____, hence, distorting the true distribution of the data.