Finding the mean, also known as the average, is a fundamental concept in statistics. It’s a measure of central tendency and is calculated by summing up all the values in a dataset and then dividing the sum by the total number of values. Here’s how to find the mean:

**Step 1: Collect Your Data**

- Gather the dataset for which you want to find the mean. This could be a set of numbers, scores, measurements, etc.

**Step 2: Add Up All the Values**

- Add together all the individual values in the dataset. This is the sum of the dataset.

**Step 3: Count the Number of Values**

- Count how many values there are in the dataset. This is the total number of observations.

**Step 4: Divide the Sum by the Number of Values**

- Divide the sum you calculated in Step 2 by the total number of values you counted in Step 3.����=������������������������������
*M**e**an*=*T**o**t**a**lN**u**mb**ero**f**Va**l**u**es**S**u**m**o**f**Va**l**u**es*

**Example**:

Suppose you have a dataset of exam scores: 80, 85, 90, 75, and 95.

**Sum of Values**:- 80+85+90+75+95=42580+85+90+75+95=425

**Total Number of Values**:- There are 5 scores in the dataset.

**Calculate the Mean**:- ����=4255=85
*M**e**an*=5425=85

- ����=4255=85

So, the mean of the exam scores is 85.

**Additional Information**:

- The mean is sensitive to outliers. If there are extremely high or low values in your dataset, they can significantly affect the mean.
- The mean is represented by the symbol “μ” in population statistics and by “x̄” (x-bar) in sample statistics.
- The mean is one of several measures of central tendency. Other measures include the median (the middle value) and mode (the most frequently occurring value).

Understanding how to calculate the mean is essential for interpreting data in various fields, including mathematics, economics, science, and more.