Introduction to ANOVA: One-Way and Two-Way Analysis of Variance in Applied Statistics

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Last updated 6:15 AM on 12/4/25
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53 Terms

1
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What is the main objective of using one-way analysis of variance (ANOVA)?

To test for differences among the means of several groups.

<p>To test for differences among the means of several groups.</p>
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What type of experimental design involves random assignment of subjects to groups?

Completely Randomized Design.

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What are the assumptions of one-way ANOVA?

Populations are normally distributed, have equal variances, and samples are randomly and independently selected.

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What does the null hypothesis (H0) state in one-way ANOVA?

All population means are equal; there is no factor effect.

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What does the alternative hypothesis (H1) state in one-way ANOVA?

At least one population mean is different; there is a factor effect.

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What is the formula for total variation (SST) in ANOVA?

SST = SSA + SSW, where SST is Total Sum of Squares, SSA is Sum of Squares Among Groups, and SSW is Sum of Squares Within Groups.

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What is the purpose of the F-test in ANOVA?

To compare the variance among group means to the variance within groups.

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What does a significant F-statistic indicate in ANOVA?

It suggests that at least one group mean is different from the others.

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What is the formula for Mean Square Among Groups (MSA)?

MSA = SSA / (c - 1), where c is the number of groups.

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What is the formula for Mean Square Within Groups (MSW)?

MSW = SSW / (n - c), where n is the total number of observations.

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What is the decision rule for rejecting the null hypothesis in ANOVA?

Reject H0 if FSTAT > Fα; otherwise, do not reject H0.

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What does the Levene Test assess in the context of ANOVA?

It tests for homogeneity of variances across groups.

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What is the Tukey-Kramer method used for in ANOVA?

To perform multiple comparisons between group means after finding significant differences.

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What is the significance of partitioning variation in ANOVA?

It helps to understand how much variation is due to the treatment (factor) and how much is due to random error.

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What is the role of experimental design in ANOVA?

It is the plan used to collect data and control factors of interest.

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What is the difference between one-way and two-way ANOVA?

One-way ANOVA tests one independent variable, while two-way ANOVA tests two independent variables and their interaction.

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What does the term 'interaction effect' refer to in two-way ANOVA?

It refers to how the effect of one independent variable changes depending on the level of another independent variable.

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What is the purpose of performing multiple comparisons in ANOVA?

To determine which specific group means are different after finding a significant F-statistic.

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What is the grand mean in the context of ANOVA?

The mean of all data values across all groups.

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What does the term 'homogeneity of variance' mean?

It means that the variances among the different groups are approximately equal.

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What is the significance of the degrees of freedom in ANOVA?

They are used to determine the critical value of F for hypothesis testing.

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What is the formula for calculating the Sum of Squares Among Groups (SSA)?

SSA = Σ(nj * (Xj - X)²), where nj is the sample size from group j, Xj is the sample mean from group j, and X is the grand mean.

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What does SSW represent in ANOVA?

SSW represents the Sum of Squares Within Groups, indicating variation within each group.

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What is the importance of random assignment in experimental design?

It helps to eliminate bias and ensures that the groups are comparable.

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What does it mean if the null hypothesis is not rejected in ANOVA?

It suggests that there is no significant difference among the group means.

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What is the relationship between F-statistic and variance in ANOVA?

The F-statistic is the ratio of the variance estimate among groups to the variance estimate within groups.

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What is the purpose of a One-Way ANOVA?

To determine if there are statistically significant differences between the means of three or more independent groups.

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What is the significance level used in the example?

0.05

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What does H0 represent in hypothesis testing?

H0 represents the null hypothesis, which states that there is no difference between the group means.

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What is the formula for the F-statistic in ANOVA?

FSTAT = MSA / MSW

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What does MSA stand for?

Mean Square Between Groups

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What does MSW stand for?

Mean Square Within Groups

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What is the critical value for rejecting H0 in the example?

3.89

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What conclusion can be drawn if FSTAT > Fα?

Reject H0, indicating that at least one group mean is different.

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What assumptions must be met to use the ANOVA F test?

Randomness and independence, normality, and homogeneity of variance.

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What is the Tukey-Kramer procedure used for?

To determine which specific means are significantly different after rejecting H0 in ANOVA.

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What does a significant interaction in a Two-Way ANOVA indicate?

The effect of one factor on the dependent variable depends on the level of another factor.

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What are the degrees of freedom for the numerator in a One-Way ANOVA?

c - 1, where c is the number of groups.

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What are the degrees of freedom for the denominator in a One-Way ANOVA?

n - c, where n is the total number of observations.

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What does the term 'homogeneity of variance' refer to?

The assumption that the variances of the different groups are equal.

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What is the formula for calculating SSA in One-Way ANOVA?

SSA = Σ(n * (X̄ - X̄overall)²) for each group.

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What is the purpose of Levene's Test?

To test the homogeneity of variance assumption in ANOVA.

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What is the meaning of 'interaction effect' in Two-Way ANOVA?

An interaction effect occurs when the effect of one independent variable on the dependent variable changes depending on the level of another independent variable.

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What is the formula for calculating SSW in One-Way ANOVA?

SSW = Σ(X - X̄)² for all observations.

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What does a non-parallel line segment in cell means plots indicate?

The presence of a significant interaction effect between factors.

46
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What is the total degrees of freedom in ANOVA?

n - 1, where n is the total number of observations.

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What does the term 'mean response' refer to in ANOVA?

The average outcome for a specific group or condition.

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What is the purpose of a normal probability plot in ANOVA?

To assess the normality assumption of the data.

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What does 'n' represent in the context of ANOVA?

The total number of observations across all groups.

50
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What is the formula for calculating the Mean Square Error (MSE)?

MSE = SSE / (n - c), where SSE is the sum of squares for error.

51
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What is the effect of unequal sample sizes on ANOVA assumptions?

Unequal sample sizes can seriously affect inferences if variances are also unequal.

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What is the main focus after determining a significant interaction in Two-Way ANOVA?

Further analysis will focus on the interaction effects.

53
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What does the term 'cell means plots' refer to?

Graphs that display the means for each combination of factor levels in a Two-Way ANOVA.