Which of the following scenarios can be appropriately answered using a Two-Way ANOVA test?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- 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 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- 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 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
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 independent variable on the dependent variable depends on the level of another independent variable. In this problem, the two factors are study group size and study environment, and the dependent variable is test performance.
Step 2: Analyze the first two statements. Both describe main effects: the first says quiet environments lead to higher scores regardless of group size, and the second says group study leads to better performance regardless of environment. These indicate independent effects without interaction.
Step 3: Examine the third statement. It describes differences in scores based on group size alone, without mentioning environment, so it also reflects a main effect rather than an interaction.
Step 4: Look at the last statement carefully. It says that students studying in groups do better in noisy environments, but students studying solo do better in quiet environments. This means the effect of group size on performance changes depending on the environment, which is the hallmark of an interaction effect.
Step 5: Conclude that the last statement most clearly suggests an interaction effect because the influence of one factor (group size) depends on the level of the other factor (environment), demonstrating that the two factors do not operate independently.
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