Sample Mean: Calculation, Usage, And Importance In Data Analysis

Sample mean ( measures the center )

Sample mean is a measure of central tendency used to describe the typical or average value of a set of observations or data. It is also known as sample average or arithmetic mean.

Sample mean is a measure of central tendency used to describe the typical or average value of a set of observations or data. It is also known as sample average or arithmetic mean.
To calculate the sample mean, we add up all the values in the sample and divide by the number of observations. For example, if we have a sample of five values {3, 5, 7, 9, 11}, we would add up all the values (3+5+7+9+11 = 35) and then divide by the number of values (5) to get the sample mean: 35/5 = 7.

The sample mean is a useful descriptive statistic because it gives us an idea of the typical value in a data set and can be used to make comparisons between different sets of data. However, it is important to note that the sample mean may be affected by outliers or extreme values in the data set. In such cases, it may be more appropriate to use other measures of central tendency, such as the median or mode, which are less affected by outliers.

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