When outliers are present, the mean can be _______ as it is sensitive to extreme values.
- Accurate
- Misleading
- Stable
- Unchanged
When outliers are present, the mean can be misleading as it is sensitive to extreme values. This is because the mean takes into account every value in the dataset, so a significantly larger or smaller outlier can skew the mean.
Loading...
Related Quiz
- The process of presenting data in a graphical format to help people understand the significance of the data is called ____________.
- A data scientist is working on a dataset with multiple categories and subcategories. What data visualization techniques can be used to ensure the readability and aesthetics of the data presentation?
- How does the data handling in Seaborn differ from that in Matplotlib?
- In a situation where the initial 'questioning' phase did not yield actionable insights, what might be the next step in the EDA process?
- What is the first step in the Exploratory Data Analysis process?