When the sample standard deviation S is based on a random sample from a normal population distribution, it can be shown that E(S) = √√√2/(n − 1)Ã(n/2)σ/T((n − 1)/2) - Use this to obtain an unbiased estimator for o of the form cS. What is c when n = 18? (Round your answer to four decimal places.) X Need Help? Read It Watch It

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
When the sample standard deviation \( S \) is based on a random sample from a normal population distribution, it can be shown that

\[
E(S) = \sqrt{\frac{2}{(n-1)}} \frac{\Gamma(n/2)}{\Gamma((n-1)/2)} \sigma
\]

Use this to obtain an unbiased estimator for \( \sigma \) of the form \( cS \). What is \( c \) when \( n = 18 \)? (Round your answer to four decimal places.)

\[ \text{Input Box} \]

\[ \text{Incorrect answer indicator (Red X)} \]

**Need Help?**

- **Read It** (button)
- **Watch It** (button)

### Explanation:

This formula calculates the expected value of the sample standard deviation \( S \) for a normal population distribution. The equation uses the Gamma function \( \Gamma \) and involves the sample size \( n \).

The task is to find a constant \( c \) such that \( cS \) is an unbiased estimator for the population standard deviation \( \sigma \), specifically when \( n = 18 \). The user is prompted to input an answer, which should be rounded to four decimal places. The presence of a red "X" indicates the inputted answer is incorrect. Additionally, resources are available through "Read It" and "Watch It" buttons for further help.
Transcribed Image Text:When the sample standard deviation \( S \) is based on a random sample from a normal population distribution, it can be shown that \[ E(S) = \sqrt{\frac{2}{(n-1)}} \frac{\Gamma(n/2)}{\Gamma((n-1)/2)} \sigma \] Use this to obtain an unbiased estimator for \( \sigma \) of the form \( cS \). What is \( c \) when \( n = 18 \)? (Round your answer to four decimal places.) \[ \text{Input Box} \] \[ \text{Incorrect answer indicator (Red X)} \] **Need Help?** - **Read It** (button) - **Watch It** (button) ### Explanation: This formula calculates the expected value of the sample standard deviation \( S \) for a normal population distribution. The equation uses the Gamma function \( \Gamma \) and involves the sample size \( n \). The task is to find a constant \( c \) such that \( cS \) is an unbiased estimator for the population standard deviation \( \sigma \), specifically when \( n = 18 \). The user is prompted to input an answer, which should be rounded to four decimal places. The presence of a red "X" indicates the inputted answer is incorrect. Additionally, resources are available through "Read It" and "Watch It" buttons for further help.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 5 images

Blurred answer
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman