### Finding the Sample Standard Deviation#### Problem Statement:Find the sample standard deviation. Round to the nearest tenth.Here’s the data set provided:22, 29, 21, 24, 27, 28, 25, 36#### Multiple Choice Options:A. 2.8 B. 4.2 C. 1.6 D. 4.8 ---#### Explanation:The sample standard deviation measures the amount of variation or dispersion in a set of values. To find it, follow these steps:1. **Find the mean (average) of the data set.**2. **Subtract the mean from each data point and square each result.**3. **Sum all the squared results.**4. **Divide this sum by the number of data points minus one (this is called the variance for the sample).**5. **Take the square root of the variance to obtain the standard deviation.**

From the provided information, The data values are as follow: 22, 29, 21, 24, 27, 28, 25, 36 Sample…

Answered: Find the sample standard deviation.…

Find the sample standard deviation. Round to the nearest tenth. 22 29 21 24 27 28 25 36 O A. 2.8 О В. 4.2 Ос. 1.6 O D. 4.8

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.

Question

### Finding the Sample Standard Deviation

#### Problem Statement:
Find the sample standard deviation. Round to the nearest tenth.

Here’s the data set provided:

22, 29, 21, 24, 27, 28, 25, 36

#### Multiple Choice Options:
A. 2.8
B. 4.2
C. 1.6
D. 4.8

---

#### Explanation:
The sample standard deviation measures the amount of variation or dispersion in a set of values. To find it, follow these steps:

1. **Find the mean (average) of the data set.**
2. **Subtract the mean from each data point and square each result.**
3. **Sum all the squared results.**
4. **Divide this sum by the number of data points minus one (this is called the variance for the sample).**
5. **Take the square root of the variance to obtain the standard deviation.**

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