Descriptive-Correlational Survey: Study Habits and Academic Performance
This study describes the study habits of college students and determines whether those habits are related to their academic performance.
- To describe the profile of the respondents in terms of sex and year_level.
- To describe the study habits of the respondents in terms of sets_a_study_schedule, takes_organized_notes, reviews_lessons_daily, studies_in_a_quiet_place, and avoids_distractions.
- To determine the relationship between study_habits_score and general_weighted_average.
- To determine whether general_weighted_average differs between the sex groups.
| Column | Kind | Missing | Distinct |
|---|---|---|---|
| sex | categorical | 0 | 2 |
| year_level | numeric | 0 | 4 |
| sets_a_study_schedule | numeric | 0 | 5 |
| takes_organized_notes | numeric | 0 | 4 |
| reviews_lessons_daily | numeric | 0 | 5 |
| studies_in_a_quiet_place | numeric | 0 | 4 |
| avoids_distractions | numeric | 0 | 5 |
| study_habits_score | numeric | 0 | 15 |
| general_weighted_average | numeric | 0 | 167 |
Detected a comparative design with 9 analyzable variable(s) and 4 analytical question(s). Recommended 4 statistical test(s). Estimated cost: 51 credits.
| n | sd | item | rank | median | weighted mean | interpretation |
|---|---|---|---|---|---|---|
| 180 | 0.841 | sets_a_study_schedule | 3 | 4 | 3.883 | Agree |
| 180 | 0.855 | takes_organized_notes | 1 | 4 | 3.994 | Agree |
| 180 | 0.837 | reviews_lessons_daily | 4 | 3 | 3.406 | Agree |
| 180 | 0.808 | studies_in_a_quiet_place | 2 | 4 | 3.994 | Agree |
| 180 | 0.860 | avoids_distractions | 5 | 3 | 3.378 | Neutral |
Overall weighted mean = 3.73, interpreted as “Agree”.
The result is statistically significant (p = 0.0000 < 0.05).
| n | std | mean | group |
|---|---|---|---|
| 113 | 2.964 | 83.823 | Female |
| 67 | 2.849 | 83.520 | Male |
The result is not statistically significant (p = 0.5029 >= 0.05).
Publication-ready report
Tests used · Results · Discussion — generated from the computed statistics.
Download the exact Jupyter notebook or Python script that reproduces these results with widely-used libraries (scipy, statsmodels, lifelines).
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