When should I use the Sign Test (two treatment groups)? 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. OA Test to see if the frequency data froma population fit a discrete probability distribution. 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 of independent samples where the data meet the assumption that the data fit the O C. normal distribution. O D. Compare two treatment groups when a normal distribution cannot be assumed. O E. Test to compare frequency data to a specifichsopulation model OF Compares numerical data to a known mean. The null hypothesis is that the mean of the data equals the known mean. O G. More than two treatment groups where a normal distribution can be assumed. O H. Compare two treatment groups consisting of paired data when the data do not fit the normal distribution. O. Compare two treatments consisting of paired data where a normal distribution can be assumed.

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When should I use the Sign Test (two treatment groups)?
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 A Test to see if the frequency data from a population fit a discrete probability distribution.
Test if the mnedian of a data set equals a null hypothesized value when the distribution of the data does not meet the
OB.
assumption of normalacy.
Compare two treatment groups of independent samples where the data meet the assumption that the data fit the
O C. normal distribution.
O P. Compare two treatment groups when a normal distribution cannot be assumed.
O E. Test to compare frequency data to a specifichsopulation model
OE Compares numerical data to a known mean. The null hypothesis is that the mean of the data equals the known mean.
OG. More than two treatment groups where a normal distribution can be assumed.
O H. Compare two treatment groups consisting of paired data when the data do not fit the normal distribution.
O Compare two treatments consisting of paired data where a normal distribution can be assumed.
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Transcribed Image Text:* Question Completion Status: When should I use the Sign Test (two treatment groups)? 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 A Test to see if the frequency data from a population fit a discrete probability distribution. Test if the mnedian of a data set equals a null hypothesized value when the distribution of the data does not meet the OB. assumption of normalacy. Compare two treatment groups of independent samples where the data meet the assumption that the data fit the O C. normal distribution. O P. Compare two treatment groups when a normal distribution cannot be assumed. O E. Test to compare frequency data to a specifichsopulation model OE Compares numerical data to a known mean. The null hypothesis is that the mean of the data equals the known mean. OG. More than two treatment groups where a normal distribution can be assumed. O H. Compare two treatment groups consisting of paired data when the data do not fit the normal distribution. O Compare two treatments consisting of paired data where a normal distribution can be assumed. Click Save and Submit to save and submit. Click Save All Answers to save all answers. Save All Answers
Question Completion Status:
O H. Compare two treatment groups consisting of paired data when the data do not fit the normal distribution.
O, Compare two treatments consisting of paired data 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.
OK. Compare more than two treatment groups when a normal distribution cannot be met.
OL Compare two treatment groups consisting of independent samples with a normal distribution AND unequal variance.
O M. Test the fit of the normal distribution to the data set.
Transcribed Image Text:Question Completion Status: O H. Compare two treatment groups consisting of paired data when the data do not fit the normal distribution. O, Compare two treatments consisting of paired data 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. OK. Compare more than two treatment groups when a normal distribution cannot be met. OL Compare two treatment groups consisting of independent samples with a normal distribution AND unequal variance. O M. Test the fit of the normal distribution to the data set.
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