Academic EdTech · AI Research Data Platform

UniJos Central Data Platform

An automated academic research analysis platform for university undergraduates and postgraduates. Students upload their survey questionnaires and raw field datasets (CSV/Excel), and the embedded AI analytical pipeline automatically generates descriptive statistics, ANOVA/regression tables, and thesis Chapter 4 interpretations.

Upload / Select Research Dataset

Select Pre-Loaded University Thesis Project

Sample Size & Respondents

Statistical Hypothesis Test Required

The Gap This Solves

Eliminates the typical 6-week bottleneck where students pay third-party consultants up to ₦50,000 for buggy SPSS printouts. Provides immediate, university-compliant APA tables and verified statistical deductions.

FACULTY OF NATURAL SCIENCES · DISSERTATION CHAPTER 4 DRAFT

Table 4.2: Correlation Analysis of Solar Irradiance and Output

Generated using Gemini AI & NumPy Statistical Model. Formatted to APA 7th Edition Standards.

Variable	Mean (M)	Std Dev (SD)	r-value	p-value	Decision
Daily Solar Insolation (kWh/m²)	5.84	0.72	0.874**	< 0.001	Reject H₀ (Sig.)
Monocrystalline Power Output (Watts)	312.4	28.6	0.874**	< 0.001	Reject H₀ (Sig.)

Chapter 4 Discussion & Academic Interpretation:

The Pearson Product-Moment correlation analysis reveals a statistically significant, strong positive correlation between daily solar insolation and electrical power generation (r = 0.874, p < 0.001). Because the calculated significance level is substantially less than the alpha threshold of 0.05, the null hypothesis is rejected. This demonstrates that regional solar intensity directly dictates panel efficiency on the Jos Plateau with minimal thermal degradation.

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