Research information

Statement of the problem

This study examines student academic outcomes.

Objectives

To describe the age, study_hours, gpa, and satisfaction of the respondents.
To determine the relationship between study_hours and gpa.
To determine the relationship between age and gpa.
To determine whether gpa differs across the program groups.
To determine whether study_hours differs across the program groups.
To determine the association between gender and civil_status.
To determine the association between gender and program.

Dataset

survey.csv40 rows × 8 cols

Column	Kind	Distinct
respondent	numeric	40
gender	categorical	2
civil_status	categorical	3
program	categorical	3
age	numeric	40
study_hours	numeric	10
gpa	numeric	40
satisfaction	numeric	5

Feasibility & estimateFree

✓ Feasibledesign: comparative · via heuristic

Detected a comparative design with 7 analyzable variable(s) and 7 analytical question(s). Recommended 6 statistical test(s). Estimated cost: 63 credits.

Recommended analysis

To describe the age, study_hours, gpa, and satisfaction of the respondents.

Descriptive Statistics(age, study_hours, gpa)

Frequency & Percentage Distribution(satisfaction)

To determine the relationship between study_hours and gpa.

Pearson Correlation(study_hours, gpa)

To determine the relationship between age and gpa.

Pearson Correlation(age, gpa)

To determine whether gpa differs across the program groups.

One-Way ANOVA(gpa, program)

Tukey HSD Post-Hoc(gpa, program)

To determine whether study_hours differs across the program groups.

One-Way ANOVA(study_hours, program)

Tukey HSD Post-Hoc(study_hours, program)

To determine the association between gender and civil_status.

Chi-Square Test of Independence(gender, civil_status)

To determine the association between gender and program.

Chi-Square Test of Independence(gender, program)

Dataset Complexity13

Statistical Tests14

AI Interpretation21

Visualizations10

Report Generation5

Total to run63 credits

Estimated runtime: ~1-2 minutes

ResultsComputed

8 tests63 credits

Descriptive Statistics (age, study_hours, gpa)

n	max	min	std	mean	mode	range	median	variable	variance
40	57	18	11.690	37.500	18	39	37.500	age	136.667
40	32	5	8.727	18.500	5	27	18.500	study_hours	76.154
40	3.970	1.570	0.748	2.728	1.570	2.400	2.720	gpa	0.559

Frequency & Percentage Distribution (satisfaction)

satisfaction · 220.0%

satisfaction · 320.0%

satisfaction · 420.0%

satisfaction · 520.0%

satisfaction · 120.0%

Spearman Rank Correlation (study_hours, gpa)

significant

r.361R².130N40p.022

Spearman r0.361

medium

The result is statistically significant (p = 0.0220 < 0.05).

Spearman Rank Correlation was used instead of the Pearson Correlation because the latter's assumption(s) were not met (Normality of study_hours (Shapiro-Wilk)).

Pearson Correlation (age, gpa)

n.s.

r.082R².007N40p.614

Pearson r0.082

negligible

The result is not statistically significant (p = 0.6137 >= 0.05).

One-Way ANOVA (gpa, program)

n.s.

p.977

Eta squared0.001

negligible

n	std	mean	group
13	0.751	2.692	A
13	0.760	2.754	B
14	0.788	2.736	C

The result is not statistically significant (p = 0.9774 >= 0.05).

One-Way ANOVA (study_hours, program)

n.s.

p.784

Eta squared0.013

negligible

n	std	mean	group
13	8.903	19.538	A
13	8.707	18.846	B
14	9.074	17.214	C

The result is not statistically significant (p = 0.7845 >= 0.05).

Chi-Square Test of Independence (gender, civil_status)

n.s.

χ²0.154df2N40p.926

Cramér's V0.062

negligible

row	Single	Married	Widowed
F	7	7	6
M	6	7	7

The result is not statistically significant (p = 0.9260 >= 0.05).

Chi-Square Test of Independence (gender, program)

n.s.

χ²0.154df2N40p.926

Cramér's V0.062

negligible

A	B	C	row
7	6	7	F
6	7	7	M

Student Outcomes Study

Publication-ready report

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