**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 \(s\).
**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
Section: Chapter Questions
Problem 1P
Related questions
Question
![**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 \(s\).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ffbac2364-844d-4c30-bd9e-8f0fe127443d%2F9cd5e8b0-94a0-4f20-bee2-3c791894f176%2Fddvysxi_processed.png&w=3840&q=75)
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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