**Calculating Mean and Standard Deviation** We are going to calculate the mean and standard deviation for the following set of sample data by hand. Round all values to 4 decimal places where possible. Sample Data: \(10, \ 4, \ 8, \ 5, \ 3\) **Steps:** a) **Calculate the Mean** Add all the numbers together and divide by 5 (the number of data points). \[ \bar{x} = \] b) **Fill in the Table** | \(x\) | \(x - \bar{x}\) | \((x - \bar{x})^2\) | |------|----------------|---------------------| | 10 | | | | 4 | | | | 8 | | | | 5 | | | | 3 | | | | **Total** | | | c) **Calculate the Standard Deviation** The formula for standard deviation is: \[ s = \sqrt{\frac{\sum (x - \bar{x})^2}{n - 1}} \] where \(\sum\) means sum, and \(n\) is the number of data points. \[ s = \] **Instructions:** 1. Compute the mean by adding all the sample data and dividing by 5. 2. Use the mean to fill in the table, calculating each deviation \((x - \bar{x})\) and its square \((x - \bar{x})^2\). 3. Sum the squared deviations, then use the standard deviation formula to find \(s\).

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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**Calculating Mean and Standard Deviation**

We are going to calculate the mean and standard deviation for the following set of sample data by hand. Round all values to 4 decimal places where possible.

Sample Data: \(10, \ 4, \ 8, \ 5, \ 3\)

**Steps:**

a) **Calculate the Mean**

Add all the numbers together and divide by 5 (the number of data points).

\[
\bar{x} = 
\]

b) **Fill in the Table**

| \(x\) | \(x - \bar{x}\) | \((x - \bar{x})^2\) |
|------|----------------|---------------------|
| 10   |                |                     |
| 4    |                |                     |
| 8    |                |                     |
| 5    |                |                     |
| 3    |                |                     |
| **Total** |                |                     |

c) **Calculate the Standard Deviation**

The formula for standard deviation is:

\[
s = \sqrt{\frac{\sum (x - \bar{x})^2}{n - 1}}
\]

where \(\sum\) means sum, and \(n\) is the number of data points.

\[
s = 
\]

**Instructions:**

1. Compute the mean by adding all the sample data and dividing by 5.
2. Use the mean to fill in the table, calculating each deviation \((x - \bar{x})\) and its square \((x - \bar{x})^2\).
3. Sum the squared deviations, then use the standard deviation formula to find \(s\).
Transcribed Image Text:**Calculating Mean and Standard Deviation** We are going to calculate the mean and standard deviation for the following set of sample data by hand. Round all values to 4 decimal places where possible. Sample Data: \(10, \ 4, \ 8, \ 5, \ 3\) **Steps:** a) **Calculate the Mean** Add all the numbers together and divide by 5 (the number of data points). \[ \bar{x} = \] b) **Fill in the Table** | \(x\) | \(x - \bar{x}\) | \((x - \bar{x})^2\) | |------|----------------|---------------------| | 10 | | | | 4 | | | | 8 | | | | 5 | | | | 3 | | | | **Total** | | | c) **Calculate the Standard Deviation** The formula for standard deviation is: \[ s = \sqrt{\frac{\sum (x - \bar{x})^2}{n - 1}} \] where \(\sum\) means sum, and \(n\) is the number of data points. \[ s = \] **Instructions:** 1. Compute the mean by adding all the sample data and dividing by 5. 2. Use the mean to fill in the table, calculating each deviation \((x - \bar{x})\) and its square \((x - \bar{x})^2\). 3. Sum the squared deviations, then use the standard deviation formula to find \(s\).
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