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Which of the statements below are correct about one-way ANOVA testing comparing multiple population averages (treatments)? Select all the statements that are correct.

Which of the statements below are correct about one-way ANOVA testing comparing multiple population averages (treatments)? Select all the statements that are correct.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
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Which of the statements below are correct about one-way ANOVA testing comparing multiple population averages (treatments)? Select all the statements that are correct. One-way ANOVA testing is done to determine if there is any difference in the population average between the same treatments. The total amount of variation in one-way ANOVA testing can be split into variations between groups and variations within groups. One-way ANOVA testing assumes the variance of all the populations used in the analysis are equal to one. One-way AONVA testing cannot be done with only one treatment. The alternate hypothesis for the one-way ANOVA test states that at least one of the population means used in the analysis is not equal to other population means.
Transcribed Image Text:Which of the statements below are correct about one-way ANOVA testing comparing multiple population averages (treatments)? Select all the statements that are correct. One-way ANOVA testing is done to determine if there is any difference in the population average between the same treatments. The total amount of variation in one-way ANOVA testing can be split into variations between groups and variations within groups. One-way ANOVA testing assumes the variance of all the populations used in the analysis are equal to one. One-way AONVA testing cannot be done with only one treatment. The alternate hypothesis for the one-way ANOVA test states that at least one of the population means used in the analysis is not equal to other population means.
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