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ARC 4
| Question | Answer |
|---|---|
| Interpretation of Results | What is the process of explaining the meaning of analyzed data called? |
| Discussion | What section of a research paper presents interpreted findings? |
| p-value | What value indicates statistical significance? |
| 0.05 | What is the commonly accepted significance level? |
| It is rejected | If p-value is less than 0.05, what happens to the null hypothesis? |
| Average | What does a mean represent in data interpretation? |
| Data is widely spread | What does a high standard deviation indicate? |
| Line Graph | What type of graph shows trends over time? |
| Proportion out of 100 | What does a percentage represent? |
| To give meaning to results | What is the purpose of interpretation? |
| Fail to reject the null hypothesis | If the p-value is greater than 0.05, what is the conclusion? |
| Variables increase together | What does a positive correlation indicate? |
| One variable increases while the other decreases | What does a negative correlation indicate? |
| Differences are due to chance | What does “no significant difference” mean? |
| Strong agreement / high level of response | What does a high mean score indicate? |
| To validate findings | What is the purpose of comparing results with previous studies? |
| Reliability | What does consistency in results suggest? |
| Data values are close together | What does a narrow range indicate? |
| An extreme value | What does an outlier represent? |
| To understand relationships between variables | What is the purpose of interpreting regression results? |
| Proportion of variance explained | What does an R² value indicate in regression analysis? |
| Range of possible true values | What does a confidence interval represent? |
| Result may not be significant | What does it mean if a confidence interval includes zero? |
| Rejecting a true null hypothesis | What is Type I error? |
| Failing to reject a false null hypothesis | What is Type II error? |
| Practical significance | What does statistical significance NOT guarantee? |
| Real-world importance of results | What is practical significance? |