What is the difference between a t-test and an ANOVA? A) The ANOVA emphasizes its calculations on the means while the t-tests focuses on the variances. B) The two tests evaluate the same hypotheses using different calculations. C) The t-tests evaluates two sources of variation: from the treatments and the errors. D) ANOVA can compare the means of more than two groups.

College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter8: Sequences, Series, And Probability
Section8.7: Probability
Problem 58E: What is meant by the sample space of an experiment?
icon
Related questions
Question
What is the difference between a t-test and an ANOVA?
A) The ANOVA emphasizes its calculations on the means while the t-tests focuses on
the variances.
B) The two tests evaluate the same hypotheses using different calculations.
C) The t-tests evaluates two sources of variation: from the treatments and the errors.
D) ANOVA can compare the means of more than two groups.
Transcribed Image Text:What is the difference between a t-test and an ANOVA? A) The ANOVA emphasizes its calculations on the means while the t-tests focuses on the variances. B) The two tests evaluate the same hypotheses using different calculations. C) The t-tests evaluates two sources of variation: from the treatments and the errors. D) ANOVA can compare the means of more than two groups.
Expert Solution
steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Basics of Inferential Statistics
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
College Algebra (MindTap Course List)
College Algebra (MindTap Course List)
Algebra
ISBN:
9781305652231
Author:
R. David Gustafson, Jeff Hughes
Publisher:
Cengage Learning