A powerful, simple procedure for testing the equality of the variances to test t
ID: 3331996 • Letter: A
Question
A powerful, simple procedure for testing the equality of the variances to test the assumption of equal group variances that may affect an F test.
Binomial Distribution
T-test for dependent means
One Way Anova
Tukey Kramer Levene Test
An ANOVA design where two factors are evaluated at two or more levels.
Two way factorial
Logistic Regression Model
Multiple regression
Chi-Square test for the difference among more than Two Proportions
Marascuilo Procedure
A process used to measure autocorrelation. This statistic measures the correlation between each residual and the residual for the previous time period.
Kruskal Wallis Rank Test
Coefficient of Determination
One Way Anova
Durbin Watson Statistic
Poisson Distribution
Explanation / Answer
1)
A powerful, simple procedure for testing the equality of the variances to test the assumption of equal group variances that may affect an F test.
Ans: Levene Test
2)
An ANOVA design where two factors are evaluated at two or more levels.
Ans: Two way factorial
3)
A process used to measure autocorrelation. This statistic measures the correlation between each residual and the residual for the previous time period.
Ans: The Durbin Watson statistic is a number that tests for autocorrelation in the residuals from a statistical regression analysis. The Durbin-Watson statistic is always between 0 and 4. A value of 2 means that there is no autocorrelation in the sample.
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