Introduction:
Measures of central tendency are statistical measures that represent the center or middle of a set of data. They are also called averages of the order.

Types of Measures of Central Tendency:
There are three types of measures of central tendency:

1. Mean: The mean is the sum of all values in a dataset divided by the number of values in the dataset. It is calculated by adding all the values and then dividing by the number of values. The mean is sensitive to outliers and extreme values.

2. Median: The median is the value that separates the dataset into two equal halves. It is the middle value when the data is arranged in order. If there are an even number of values in the dataset, the median is the average of the two middle values. The median is not affected by extreme values.

3. Mode: The mode is the value that occurs most frequently in the dataset. It is the value that appears with the highest frequency. A dataset can have one mode, multiple modes, or no mode.

Uses of Measures of Central Tendency:
Measures of central tendency are used in many areas, including:

1. Descriptive statistics: Measures of central tendency are used to describe the center of a dataset.

2. Inferential statistics: Measures of central tendency are used to make inferences about the population from a sample.

3. Business: Measures of central tendency are used in business to determine sales trends, customer preferences, and other important data.

Conclusion:
In conclusion, measures of central tendency are important statistical measures that represent the center or middle of a set of data. They are used in many areas and can provide valuable insights into a dataset. It is important to choose the appropriate measure of central tendency based on the type of data and the research question.

Measure of central tendency are called average of the first order