Doing Oneway ANOVAs :Designing, Running, and Analyzing Experiments(Interaction Design Specialization) Answers 2026
Q1. Number of stroke alphabets
Command:
π Look at the single number printed in console
π Enter that number
π This equals the total number of stroke alphabets compared
Q2. Average WPM for EdgeWrite
Command:
π R prints one numeric value
π Round to 2 decimal places
π Enter that rounded value
Example:
Q3. Shapiro-Wilk tests (by Alphabet)
Command:
You will see one test per alphabet, each showing:
π For each alphabet:
-
p < 0.05 β β Violates normality
-
p β₯ 0.05 β β Does NOT violate normality
π In the quiz, tick only those alphabets with p < 0.05
π If none are < 0.05 β choose βNone of the aboveβ
Q4. Shapiro-Wilk test on residuals
Commands:
Output:
π Copy p-value only
π Round to 4 decimal places
Q5. BrownβForsythe test (equal variances)
Command:
Output table includes:
π Enter Pr(>F)
π Round to 4 decimal places
Decision rule (for understanding):
-
p < 0.05 β variances unequal
-
p β₯ 0.05 β variances equal
Q6. Oneway ANOVA
Command:
Youβll see a table like:
π Enter the F value
π Round to 2 decimal places
Q7. Tukey + Holm (Unistrokes vs Graffiti)
Commands:
Output shows rows like:
π Find Unistrokes β Graffiti
π Copy Pr(>|z|)
π Round to 4 decimal places
Q8. Significant pairwise differences
Using Q7 results:
π Any comparison with:
β is significant
π Tick only those pairs
π If none < 0.05 β choose βNone of the aboveβ
Q9. Kruskal-Wallis test
Command:
Output:
π Copy p-value
π Round to 4 decimal places
Q10. Mann-Whitney + Holm
Command:
Output:
π Values are returned in the same order:
-
Unistrokes vs Graffiti
-
Unistrokes vs EdgeWrite
-
Graffiti vs EdgeWrite
π Take first value
π Round to 4 decimal places
π§Ύ FINAL SUMMARY TABLE (Ready to Fill)
| Question | Analysis / Test | Answer to Enter | Key Concept |
|---|---|---|---|
| Q1 | Unique Alphabet count | (number) | Number of groups |
| Q2 | Mean WPM (EdgeWrite) | xx.xx | Central tendency |
| Q3 | Shapiro-Wilk (by group) | List alphabets with p<0.05 | Normality |
| Q4 | Shapiro-Wilk (residuals) | p = xxxx | Model assumption |
| Q5 | Brown-Forsythe | p = xxxx | Equal variances |
| Q6 | Oneway ANOVA | F = xx.xx | Group mean differences |
| Q7 | Tukey + Holm | p = xxxx | Multiple comparisons |
| Q8 | Significant pairs | Tick pairs with p<0.05 | Post-hoc inference |
| Q9 | Kruskal-Wallis | p = xxxx | Nonparametric ANOVA |
| Q10 | Mann-Whitney + Holm | p = xxxx | Nonparametric post-hoc |