This document provides steps to calculate the standard deviation of a dataset. It includes a sample dataset of the number of train wrecks from 1950-1960. The steps are: 1) Find the average of the dataset; 2) Calculate the deviations from the average; 3) Square the deviations and sum them; 4) Divide the sum by the number of data points; 5) Take the square root of the result to obtain the standard deviation of 2.1489.

1. STANDARD DEVIATION Number of Train wrecks in 10 years; 1950-1960

2. Standard Deviation Step 1: Write out the problem. Neatly Step 2: Find the Deviations of all the data points. Then square all the Deviation integers. Step 3: Add the squared Deviations and divide by the number of Data Points. Step 4: Then, take the square root of the calculated number (variance) and you will get the STANDARD DEVIATION!

3. Step 1: Write out the Problem Step 2: Then get the average of the data points Number of Train Wrecks (data points) Average The Deviations 7 3.27 3.73 4 3.27 0.73 3 3.27 0.27 5 3.27 1.73 0 3.27 3.27 5 3.27 1.73 1 3.27 2.27 5 3.27 1.73 2 3.27 1.27 1 3.27 2.27 3 3.27 0.27

4. Step 3: Add the Deviations Deviations Deviations squared Add the Squared Deviations 3.73 13.9129 After adding them …I got 46.1819! 0.73 0.5329 Then divide by the number of data points! 0.27 0.0729 1.73 2.9929 46.1819 / 10 = 4.61819 3.27 10.6929 1.73 2.9929 2.27 5.1529 1.73 2.9929 1.27 1.6129 2.27 5.1529 0.27 0.0729

5. Step 4: Get the square root of the calculated number! 4.61819 The square root is …………….. 2.1489!!!!