Write a short note on measures of central tendency 

**Measures of Central Tendency**

Measures of central tendency are statistical tools used to identify a single value that best represents a set of data, indicating where the center or "average" of the data lies. The three most common measures are:

1. **Mean**: The arithmetic average of all the data points. It's calculated by summing all the values and dividing by the number of observations. It is sensitive to extreme values (outliers).
   
2. **Median**: The middle value of an ordered data set. If the data set has an odd number of values, the median is the central number. For an even number of values, it's the average of the two middle numbers. The median is less affected by outliers than the mean.
   
3. **Mode**: The value that appears most frequently in the data set. A set may have one mode (unimodal), more than one mode (bimodal, multimodal), or no mode at all if all values are distinct.

These measures help summarize and describe large data sets by providing insight into the general behavior of the data, allowing easier interpretation and analysis.

Would you like more details on a specific measure or any examples?

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Here are 5 related questions:
1. How is the median affected by outliers compared to the mean?
2. What are some situations where the mode is the most useful measure of central tendency?
3. Can a data set have more than one mode? What does that indicate?
4. What is the impact of skewed data on the mean and median?
5. How can the mean be misleading in the presence of extreme values?

**Tip**: For skewed data distributions, the median often provides a better central measure than the mean.

Write a short note on measures of central tendency

Learn about the measures of central tendency, including the mean, median, and mode. This page explains how to calculate each measure and their role in summarizing data sets. Ideal for students in Grades 6-8.

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