Which of the following scenarios can be appropriately answered using a Two-Way ANOVA test?
Table of contents
- 1. Introduction to Statistics53m
- 2. Describing Data with Tables and Graphs2h 1m
- 3. Describing Data Numerically2h 8m
- 4. Probability2h 26m
- 5. Binomial Distribution & Discrete Random Variables3h 28m
- 6. Normal Distribution & Continuous Random Variables2h 21m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 37m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals22m
- Confidence Intervals for Population Mean1h 26m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 33m
- 9. Hypothesis Testing for One Sample3h 32m
- 10. Hypothesis Testing for Two Samples4h 49m
- Two Proportions1h 12m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 2m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 59m
- 13. Chi-Square Tests & Goodness of Fit2h 31m
- 14. ANOVA2h 1m
14. ANOVA
Two-Way ANOVA
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
A university surveys how study group size (solo, duo, group) and study environment (quiet, noisy) affect test performance. Which of the following conclusions most clearly suggests an interaction effect between the two factors?
A
Students who study in quiet environments score higher than students who study in noisy ones, regardless of group size
B
Students who study in groups generally perform better than those who study alone, regardless of environment
C
Solo and group sizes produced similar, higher scores overall, but duo group sizes were overall lower
D
Students studying in groups in noisy environments tend to perform better, whereas students studying solo in quiet environments tend to perform better
Verified step by step guidance1
Step 1: Understand the concept of interaction effect. In statistics, an interaction effect occurs when the effect of one factor on the outcome depends on the level of another factor. This means the influence of one variable changes depending on the other variable.
Step 2: Identify the two factors in the problem: study group size (solo, duo, group) and study environment (quiet, noisy). The outcome is test performance.
Step 3: Examine the statements to see if the effect of one factor depends on the other. Statements that say one factor affects performance regardless of the other (e.g., "Students who study in quiet environments score higher regardless of group size") indicate no interaction because the effect is consistent across levels of the other factor.
Step 4: Look for a statement where the effect of one factor changes depending on the other factor. For example, "Students studying in groups in noisy environments tend to perform better, whereas students studying solo in quiet environments tend to perform better" shows that the best performance depends on the combination of group size and environment, indicating an interaction effect.
Step 5: Conclude that the presence of an interaction effect is demonstrated when the impact of one factor (study group size) on test performance varies depending on the level of the other factor (study environment), as described in the correct answer.
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