SOCY 7702 Introduction to Statistics and Data Analysis

Required for graduate students This course is an introduction to statistics utilizing Stata statistical software. Statistical issues covered include measures of central tendency, measures of dispersion, random sampling, confidence intervals, hypothesis testing, measures of correlation, simple regression, chi-square, and one-way analysis of variance.

Course overview

Department
Sociology
School
MCAS
Credits
3
Level
Graduate
Offered
Every Fall

Course evaluations

Response-weighted averages from Boston College’s official course evaluations (Avalanche/Blue).

Course rating
4.15 / 5 · Very Good
13 responses
Instructor rating
3.92 / 5 · Very Good
13 responses
Terms evaluated
5
Most recent: Spring 2026

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree); weekly effort from 1 (up to 1 hour) to 5 (10 or more hours).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryWeekly effortResponses
Spring 2026Sara Moorman5.05.05.05.05.05.05.05.04–6 hrs/week1 of 2
Spring 2025Natalia Sarkisian4.74.35.05.05.05.04.74.04–6 hrs/week3 of 4
Spring 2024Natalia Sarkisian3.02.74.03.74.04.74.04.3—3 of 6
Spring 2023Natalia Sarkisian4.34.04.74.75.05.05.04.74–6 hrs/week3 of 3
Fall 2021Natalia Sarkisian4.34.34.35.04.05.05.04.34–6 hrs/week3 of 10

Data freshness

Course and evaluation data last updated 2026-10-09. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Sara Moorman
    Spring 2027, Spring 2026 · Official rating 5.00/5
  • Natalia Sarkisian
    Spring 2025, Spring 2024, Spring 2023, Fall 2021 · Official rating 3.83/5

Sections

  • Section 01
    Spring 2027 · Sara Moorman · Hayden Hall Room 102 MWF 02:00PM-02:50PM · Offered