ANOVA tests difference in means. Which of the following is true in regard to alternate hypothesis for the test?
Mean is equal to some hypothesized value
All means are equal
All means are not equal
Atleast one of the mean is not equal to others
Answers
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Answer:
Yes it does. The null hypothesis in an ANOVA is that all of the means, from each independent
Answered by
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Answer:
Atleast one of the mean is not equal to others is the correct answer.
Explanation:
Analysis of variance (ANOVA) is an inference technique used to test the equality of three or more population means.
The goal of ANOVA is to
- Estimate the difference between treatment measures and treatment measures;
- Test hypotheses for statistical significance of treatment comparisons.
- Here, "treatment" or "factor" is the characteristic that distinguishes the population.
The ANOVA assumptions are:
- Each population is normally distributed.
- The population variance for each treatment group is uniform.
- You can easily test the normality of your samples by creating a normal probability plot, but checking for uniform variance can be more difficult.
- A general rule of thumb is:-One-way ANOVA can be used if the maximum sample standard deviation is less than or equal to twice the minimum sample standard deviation.
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