Homework Help is Here – Start Your Trial Now!
Science
Biology
When should I use the ANOVA test? 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. A. Compare two treatment groups when a normal distribution cannot be assumed. B. Compare two treatment groups consisting of independent samples with a normal distribution AND unequal variance. C. Compare two treatment groups of independent samples where the data meet the assumption that the data fit the normal distribution. O D. 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. E. Test to compare frequency data to a specific population model F. Compare two treatments consisting of paired data where a normal distribution can be assumed. G. Test to see if the frequency data from a population fit a discrete probability distribution. H. Compares numerical data to a known mean. The null hypothesis is that the mean of the data equals the known mean. I. More than two treatment groups where normal distribution be assumed. J. Compare more than two treatment groups when a normal distribution cannot be met. O K. Test the fit of the normal distribution to the data set. L. Compare categorical frequency data with an expected population proportion. No difference between observed and expected proportions is used as the null hypothesis. M. Compare two treatment groups consisting of paired data when the data do not fit the normal distribution.

When should I use the ANOVA test? 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. A. Compare two treatment groups when a normal distribution cannot be assumed. B. Compare two treatment groups consisting of independent samples with a normal distribution AND unequal variance. C. Compare two treatment groups of independent samples where the data meet the assumption that the data fit the normal distribution. O D. 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. E. Test to compare frequency data to a specific population model F. Compare two treatments consisting of paired data where a normal distribution can be assumed. G. Test to see if the frequency data from a population fit a discrete probability distribution. H. Compares numerical data to a known mean. The null hypothesis is that the mean of the data equals the known mean. I. More than two treatment groups where normal distribution be assumed. J. Compare more than two treatment groups when a normal distribution cannot be met. O K. Test the fit of the normal distribution to the data set. L. Compare categorical frequency data with an expected population proportion. No difference between observed and expected proportions is used as the null hypothesis. M. Compare two treatment groups consisting of paired data when the data do not fit the normal distribution.

Human Anatomy & Physiology (11th Edition)
Human Anatomy & Physiology (11th Edition)
11th Edition
ISBN:9780134580999
Author:Elaine N. Marieb, Katja N. Hoehn
Publisher:Elaine N. Marieb, Katja N. Hoehn
Chapter1: The Human Body: An Orientation
Section: Chapter Questions
Problem 1RQ: The correct sequence of levels forming the structural hierarchy is A. (a) organ, organ system,...
See similar textbooks
icon
Related questions
Question

please highlight the correct answer

When should I use the ANOVA test? 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. A. Compare two treatment groups when a normal distribution cannot be assumed. B. Compare two treatment groups consisting of independent samples with a normal distribution AND unequal variance. C. Compare two treatment groups of independent samples where the data meet the assumption that the data fit the normal distribution. O D. 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. E. Test to compare frequency data to a specific population model F. Compare two treatments consisting of paired data where a normal distribution can be assumed. G. Test to see if the frequency data from a population fit a discrete probability distribution. H. Compares numerical data to a known mean. The null hypothesis is that the mean of the data equals the known mean. I. More than two treatment groups where normal distribution be assumed. J. Compare more than two treatment groups when a normal distribution cannot be met. O K. Test the fit of the normal distribution to the data set. L. Compare categorical frequency data with an expected population proportion. No difference between observed and expected proportions is used as the null hypothesis. M. Compare two treatment groups consisting of paired data when the data do not fit the normal distribution.
Transcribed Image Text:When should I use the ANOVA test? 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. A. Compare two treatment groups when a normal distribution cannot be assumed. B. Compare two treatment groups consisting of independent samples with a normal distribution AND unequal variance. C. Compare two treatment groups of independent samples where the data meet the assumption that the data fit the normal distribution. O D. 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. E. Test to compare frequency data to a specific population model F. Compare two treatments consisting of paired data where a normal distribution can be assumed. G. Test to see if the frequency data from a population fit a discrete probability distribution. H. Compares numerical data to a known mean. The null hypothesis is that the mean of the data equals the known mean. I. More than two treatment groups where normal distribution be assumed. J. Compare more than two treatment groups when a normal distribution cannot be met. O K. Test the fit of the normal distribution to the data set. L. Compare categorical frequency data with an expected population proportion. No difference between observed and expected proportions is used as the null hypothesis. M. Compare two treatment groups consisting of paired data when the data do not fit the normal distribution.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Knowledge Booster
Genome annotation
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, biology and related others by exploring similar questions and additional content below.
Similar questions
Recommended textbooks for you
Human Anatomy & Physiology (11th Edition)
Human Anatomy & Physiology (11th Edition)
Biology
ISBN:
9780134580999
Author:
Elaine N. Marieb, Katja N. Hoehn
Publisher:
PEARSON
Biology 2e
Biology 2e
Biology
ISBN:
9781947172517
Author:
Matthew Douglas, Jung Choi, Mary Ann Clark
Publisher:
OpenStax
Anatomy & Physiology
Anatomy & Physiology
Biology
ISBN:
9781259398629
Author:
McKinley, Michael P., O'loughlin, Valerie Dean, Bidle, Theresa Stouter
Publisher:
Mcgraw Hill Education,
Molecular Biology of the Cell (Sixth Edition)
Molecular Biology of the Cell (Sixth Edition)
Biology
ISBN:
9780815344322
Author:
Bruce Alberts, Alexander D. Johnson, Julian Lewis, David Morgan, Martin Raff, Keith Roberts, Peter Walter
Publisher:
W. W. Norton & Company
Laboratory Manual For Human Anatomy & Physiology
Laboratory Manual For Human Anatomy & Physiology
Biology
ISBN:
9781260159363
Author:
Martin, Terry R., Prentice-craver, Cynthia
Publisher:
McGraw-Hill Publishing Co.
Inquiry Into Life (16th Edition)
Inquiry Into Life (16th Edition)
Biology
ISBN:
9781260231700
Author:
Sylvia S. Mader, Michael Windelspecht
Publisher:
McGraw Hill Education
SEE MORE TEXTBOOKS