When should I use the Sign Test (single variable)? Remember that some tests, such as chi squared, can be used under various circumstances. The goal of the test changes based on the situation. Pay attention to the specific conditions noted in parenthesis to ensure you are picking the correct goal. O More than two treatment groups where a normal distribution can be assumed. O Compare categorical frequency data with an expected population proportion. No difference between observed and expected proportions is used as the null hypothesis. O Compare more than two treatment groups when a normal distribution cannot be met. O Compare two treatment groups when a normal distribution cannot be assumed. O Compares numerical data to a known mean. The null hypothesis is that the mean of the data equals the known mean. Compare two treatments consisting of paired data where a normal distribution can be assumed. Test the fit of the normal distribution to the data set. O Test if the median of a data set equals a null hypothesized value when the distribution of the data does not meet the assumption of normalacy. Compare two treatment groups consisting of paired data when the data do not fit the normal distribution. Compare two treatment groups of independent samples where the data meet the assumption that the data fit the normal distribution. Compare two treatment groups consisting of independent samples with a normal distribution AND unequal variance. Test to see if the frequency data from a population fit a discrete probability distribution. O Test to compare frequency data to a specific population model
When should I use the Sign Test (single variable)? Remember that some tests, such as chi squared, can be used under various circumstances. The goal of the test changes based on the situation. Pay attention to the specific conditions noted in parenthesis to ensure you are picking the correct goal. O More than two treatment groups where a normal distribution can be assumed. O Compare categorical frequency data with an expected population proportion. No difference between observed and expected proportions is used as the null hypothesis. O Compare more than two treatment groups when a normal distribution cannot be met. O Compare two treatment groups when a normal distribution cannot be assumed. O Compares numerical data to a known mean. The null hypothesis is that the mean of the data equals the known mean. Compare two treatments consisting of paired data where a normal distribution can be assumed. Test the fit of the normal distribution to the data set. O Test if the median of a data set equals a null hypothesized value when the distribution of the data does not meet the assumption of normalacy. Compare two treatment groups consisting of paired data when the data do not fit the normal distribution. Compare two treatment groups of independent samples where the data meet the assumption that the data fit the normal distribution. Compare two treatment groups consisting of independent samples with a normal distribution AND unequal variance. Test to see if the frequency data from a population fit a discrete probability distribution. O Test to compare frequency data to a specific population model
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
Chpt 4, Q3: what is the correct answer?
![When should I use the Sign Test (single variable)?
Remember that some tests, such as chi squared, can be used under various circumstances. The goal of the test changes
based on the situation. Pay attention to the specific conditions noted in parenthesis to ensure you are picking the correct
goal.
More than two treatment groups where a normal distribution can be assumed.
Compare categorical frequency data with an expected population proportion. No difference between observed and expected proportions
is used as the null hypothesis.
Compare more than two treatment groups when a normal distribution cannot be met.
Compare two treatment groups when a normal distribution cannot be assumed.
O Compares numerical data to a known mean. The null hypothesis is that the mean of the data equals the known mean.
Compare two treatments consisting of paired data where a normal distribution can be assumed.
O Test the fit of the normal distribution to the data set.
Test if the median of a data set equals a null hypothesized value when the distribution of the data does not meet the assumption of
normalacy.
Compare two treatment groups consisting of paired data when the data do not fit the normal distribution.
Compare two treatment groups of independent samples where the data meet the assumption that the data fit the normal distribution.
Compare two treatment groups consisting of independent samples with a normal distribution AND unequal variance.
Test to see if the frequency data from a population fit a discrete probability distribution.
O Test to compare frequency data to a specific population model](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8b1f7975-4b0c-45ff-85b5-d245674b95f7%2Fb9dc1178-f416-46b3-91de-a44562e29201%2F516d9uc_processed.png&w=3840&q=75)
Transcribed Image Text:When should I use the Sign Test (single variable)?
Remember that some tests, such as chi squared, can be used under various circumstances. The goal of the test changes
based on the situation. Pay attention to the specific conditions noted in parenthesis to ensure you are picking the correct
goal.
More than two treatment groups where a normal distribution can be assumed.
Compare categorical frequency data with an expected population proportion. No difference between observed and expected proportions
is used as the null hypothesis.
Compare more than two treatment groups when a normal distribution cannot be met.
Compare two treatment groups when a normal distribution cannot be assumed.
O Compares numerical data to a known mean. The null hypothesis is that the mean of the data equals the known mean.
Compare two treatments consisting of paired data where a normal distribution can be assumed.
O Test the fit of the normal distribution to the data set.
Test if the median of a data set equals a null hypothesized value when the distribution of the data does not meet the assumption of
normalacy.
Compare two treatment groups consisting of paired data when the data do not fit the normal distribution.
Compare two treatment groups of independent samples where the data meet the assumption that the data fit the normal distribution.
Compare two treatment groups consisting of independent samples with a normal distribution AND unequal variance.
Test to see if the frequency data from a population fit a discrete probability distribution.
O Test to compare frequency data to a specific population model
Expert Solution
![](/static/compass_v2/shared-icons/check-mark.png)
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 2 steps with 1 images
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
Recommended textbooks for you
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
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…](https://www.bartleby.com/isbn_cover_images/9780134683416/9780134683416_smallCoverImage.gif)
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
![The Basic Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319042578/9781319042578_smallCoverImage.gif)
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](https://www.bartleby.com/isbn_cover_images/9781319013387/9781319013387_smallCoverImage.gif)
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman