Calculating the Sample Mean | A Step-by-Step Guide to Finding the Average Value of a Data Sample

When you calculate the sample mean, you divide the sum of the values in the sample bya. the number of values in the sample.b. the number of non-repeating sample values.c. the sample number minus one.

When calculating the sample mean, you divide the sum of the values in the sample by the number of values in the sample (option a)

When calculating the sample mean, you divide the sum of the values in the sample by the number of values in the sample (option a). The sample mean is a measure of central tendency that represents the average value of the data points in a sample.

To calculate the sample mean, follow these steps:

1. Add up all the values in the sample.
2. Count the total number of values in the sample.
3. Divide the sum of the values by the number of values.

For example, let’s say we have a sample consisting of the following values: 5, 7, 9, 11, and 13. To find the sample mean:

1. Add up all the values: 5 + 7 + 9 + 11 + 13 = 45.
2. Count the number of values: There are five values in the sample.
3. Divide the sum by the number of values: 45 / 5 = 9.

Therefore, the sample mean is 9. This means that on average, the values in the sample tend to be around 9.

It’s important to note that when dealing with populations (the entire set of data), rather than samples, you divide the sum by the total number of values minus one (option c). This is known as the population mean and is typically denoted by the Greek letter mu (μ). However, when working with samples (which are subsets of the population), the sample mean is used instead and you divide by the number of values in the sample.

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