Statistics Quest

Applied case · Education policy · about 70 minutes

Does tutoring raise exam scores?

Tutored students scored lower than untutored ones. Discover why the raw gap misleads, adjust for prior attainment with regression, see why gain scores overstate the effect, and give the board an honest, uncertain answer.

The brief

Al Waha Learning District (fictional) runs an after-school mathematics tutoring programme for grade-11 students at a cost of about SAR 1.8 million a year (an invented scenario figure). A board member circulated this year's results with a blunt comment: “Tutored students scored 5.0 points lower on the final exam than everyone else. The programme isn't working — cut it.”

The district's head of planning asks you to analyse the data properly before the board votes on next year's budget. The data (student_scores, synthetic) hold 400 students: school type, last year's mathematics score, self-reported weekly study hours, attendance, whether they attended tutoring, and this year's final exam score.

Important context from the programme office: tutoring places were offered mainly to students whose previous score was low. Participation was not random.

Stakeholders: the board (budget decision), the programme office (who wants the programme continued), and the parents of tutored students (who want to know if it helps).

The district, schools and students are synthetic, generated for teaching.

Dataset

Student exam scores

400 rows · one row = one student · synthetic data

StudentSchool typePrior score (points)Study hours (hours/week)Attendance (%)TutoringExam score (points)
ST001Private765.289false66
ST002Public754.194.4false73
ST003Private83286.1true86
ST004Public818.688.2false81
ST005Public704.985.2false74
ST006Public801.793.5false83

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This case has 4 stages and 9 graded tasks, ending with a written report.

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