Introduction to Statistical Analysis
    In-person Program

    Introduction to Statistical Analysis

    by Vanderbilt Summer Academy

    A Nashville statistics summer course exploring how data answers questions in education, medicine, and sports, with practical analysis and graph-making in Excel or Google Sheets.

    Last verified: 9 Oct 2026Reviewed by:SSSean Stevens

    Get the full picture before you decide

    See Succeed's assessment of the programme, who it may suit, the estimated total cost, what applying involves and what is still to confirm.

    or let us know if .

    • What Succeed checks

      We review public program details such as eligibility, age range, cost, duration, location, format, accommodation, meals and application timing.

    • What Last verified means

      Last verified is the latest date Succeed checked the public details shown on this page. Program dates, prices and availability can still change.

    • How official sources are used

      Succeed uses official provider information where available, then rewrites it into a student-facing summary for comparison and planning.

    • Why some dates are reference dates

      If the current cycle is not available, Succeed may show the latest verified cycle dates so you can understand typical timing.

    • Succeed is independent from this provider unless a partnership is clearly stated.

    Introduction to Statistical Analysis at a glance: cost, dates and eligibility

    Current status

    Applications open

    Eligibility

    Academically advanced rising seventh- and eighth-graders

    Age range / Year group

    Ages 12-14

    Location / Region

    Vanderbilt University, Nashville, Tennessee, United States

    Cost

    $2,150

    Duration

    1 week

    Format

    In-person

    Application deadline

    Rolling · Next cycle not announced yet. These dates are from the latest verified cycle and should be used as a reference only.

    Save program
    StatisticsMathematics
    Accommodation: Ingram Commons; double or triple rooms
    Meals: All meals provided
    Sessions / cadence: Approximately 6 hours each weekday
    Instructor: Gabriella Noreen, Ph.D. candidate
    Academic outcome: Written feedback and performance evaluation
    Student support: Classroom assistant and residential proctor
    Analysis tools: Excel or Google Sheets

    Introduction to Statistical Analysis summary

    Introduction to Statistical Analysis connects statistical reasoning with questions about education, medicine, and sports. It is a focused course within Vanderbilt Summer Academy.

    Students work with provided datasets, conduct analyses, and make graphs by hand and in Excel or Google Sheets. The emphasis is on understanding results as well as calculating them.

    It suits students who enjoy mathematical questions and want to understand how researchers use data to support decisions.

    What is Introduction to Statistical Analysis?

    Introduction to Statistical Analysis is a focused academic course within Vanderbilt Summer Academy, organized by Vanderbilt University's Programs for Talented Youth. It introduces statistical inference and data analytics through questions such as whether an intervention improves test scores or whether baseball payrolls relate to batting averages.

    Students study descriptive statistics, correlation and regression, significance testing, and confirmatory versus exploratory analyses. They then conduct and interpret their own analyses using provided datasets, with graph-making by hand and in Excel or Google Sheets. The academic work sits within a supervised residential campus experience.

    Why Succeed highlights Introduction to Statistical Analysis

    • Questions from education, medicine, and sports give abstract statistical ideas a clear practical purpose.

    • Working with datasets and graphs helps students connect calculations with interpretation.

    • Excel and Google Sheets make the analytical work relevant to tools students can continue using.

    • The listed instructor combines specialist Quantitative Methods training with several years of PTY teaching experience.

    • Written feedback and a performance evaluation support reflection without a grade-driven classroom.

    Who is Introduction to Statistical Analysis for?

    Best for

    Students who enjoy mathematics, want to investigate real questions with data, and would welcome accelerated study within a structured residential community.

    Not ideal if

    You primarily want a credit-bearing qualification or a relaxed camp with substantial unsupervised time.

    Is Introduction to Statistical Analysis worth it?

    This course is a promising choice for students who want to test their interest in statistics through practical analysis. Its strongest feature is the connection between research questions, analytical methods, and interpreting results, supported by specialist teaching and instructor feedback.

    The value depends on wanting an intensive academic and residential experience. A short introduction cannot replace sustained statistics study, and VSA provides neither academic credit nor an admissions advantage at Vanderbilt. Families should weigh the subject fit alongside the residential commitment and applicable fees.

    A practical overview of cost, accommodation, meals, dates and provider details to review before deciding.

    Cost and what is included

    $2,150; includes Course costs and materials., Residential housing., All meals., Residential outings and activities..

    Accommodation

    Ingram Commons; double or triple rooms

    Meals

    All meals provided

    Provider details

    Review the Vanderbilt Summer Academy provider page and official sources before making a final decision.

    Dates and logistics

    1 week; Vanderbilt University, Nashville, Tennessee, United States.

    What to check before committing

    Confirm current dates, payment terms, travel arrangements, cancellation rules and what is included with the provider.

    Compare this program with similar options before deciding on dates, cost, format and fit.

    Compare with similar programs

    How much preparation does Introduction to Statistical Analysis need?

    Effort level

    High for a short introductory course.

    Best started

    Begin gathering documents four to six weeks before an announced priority application window.

    Main challenge

    Connecting unfamiliar statistical methods with what the results actually mean.

    Typical preparation

    • Review averages, percentages, and how to read common graphs.

    • Practice entering data and creating a simple chart in Excel or Google Sheets.

    • Choose a question from sports, education, or health that you would like data to answer.

    • Discuss the supervised residential routine and required packing with your family.

    Useful if

    You want to explore research design and data-driven decisions.

    What do students do on Introduction to Statistical Analysis?

    You explore how statistical analysis can answer practical research questions, then work with provided datasets to conduct and interpret your own analyses. Graph-making by hand and with spreadsheet software connects the mathematical ideas to visible patterns.

    Step-by-step process

    1. 1

      Explore questions from education, medicine, and sports.

    2. 2

      Learn descriptive statistics and foundational statistical inference.

    3. 3

      Study correlation, regression, and significance testing.

    4. 4

      Conduct analyses using provided datasets and instructions.

    5. 5

      Create graphs by hand and with Excel or Google Sheets.

    6. 6

      Interpret your results and distinguish exploratory from confirmatory analysis.

    Introduction to Statistical Analysis dates and deadlines

    Next cycle not announced yet. These dates are from the latest verified cycle and should be used as a reference only.

    Applications

    Rolling admissions

    Reference date

    Programme dates

    7-12 June 2026

    Reference date

    Applications open

    7 January 2026

    The 2026 VSA priority application window began.

    Reference date

    Priority window ends

    14 January 2026

    Priority consideration ended at midnight; rolling applications followed.

    Reference date

    Applications open

    15 January 2026

    The 2026 general application window began with rolling admissions.

    Reference date

    Admission notifications

    29 January–16 February 2026

    Notification window for priority applicants.

    Reference date

    Eligibility and requirements

    • Rising seventh- or eighth-grade students.

    • Apply only within your rising grade level.

    • Provide academic-fit documentation through test scores or a portfolio.

    • Submit a transcript with either application route.

    • Portfolio applicants provide educator recommendation documentation and an essay.

    • English proficiency documentation or an applicable waiver may be required.

    • Maintain health insurance and complete required participant forms.

    • Students from outside the United States may apply.

    How much does Introduction to Statistical Analysis cost?

    Application fee

    $50 — Nonrefundable; $100 for international applicants.

    Funding or discounts

    • Tuition deposit: 20% of tuition — Nonrefundable and applied toward tuition; admission instructions govern payment.
    • Need-based assistance: For qualifying families with AGI up to $105,000 or severe hardship.
    • Monthly payment plan: Families may arrange installments through SchoolDoc after admission.
    • Airport shuttle: $75 round trip — Required for students flying alone; no one-way discount.

    What's included

    Course costs and materials., Residential housing., All meals., Residential outings and activities.

    How to apply to Introduction to Statistical Analysis

    1. 1

      For an announced course cycle, review VSA's grade-level and academic-fit requirements.

    2. 2

      Use the VSA application page to access SchoolDoc and create or reuse your account.

    3. 3

      Upload a transcript and the required test-score or portfolio documentation.

    4. 4

      Rank up to four courses that you would genuinely be willing to take.

    5. 5

      Indicate any financial-aid request and complete its documentation.

    6. 6

      Submit the application with the nonrefundable application fee.

    7. 7

      After placement, follow the admission notice for payment and required participant forms.

    Next step with Succeed

    Interested in this programme?

    or let us know if .

    Succeed replies first, usually within a working day

    What does Introduction to Statistical Analysis cover?

    The program covers the following focus areas.

    Descriptive statistics

    Explore methods for describing and interpreting the data in a dataset.

    Correlation and regression

    Study statistical approaches to investigating relationships between variables.

    Significance testing

    Explore significance testing as part of an introduction to statistical inference.

    Exploratory and confirmatory analysis

    Learn the distinction between exploring patterns and conducting confirmatory analyses.

    Analysis and graph-making

    Analyze provided datasets and create graphs by hand and with Excel or Google Sheets.

    Curriculum may be adjusted based on participant interests and current developments.

    What is a typical day on Introduction to Statistical Analysis?

    A typical day during the program.

    Academic study

    VSA classes meet approximately six hours each weekday for focused subject study.

    Residential activities

    Younger students join organized activities accompanied by PTY staff.

    Residence hall routine

    Students remain on their residential hall after evening activities until breakfast.

    Who teaches on Introduction to Statistical Analysis?

    The 2026 instructor was Gabriella Noreen, a doctoral candidate in Vanderbilt's Quantitative Methods Program with an M.S. in Quantitative Methods. She has taught with PTY for several years and assisted with courses including Statistical Analysis, Multilevel Modeling, and Psychological Measurement.

    Each VSA course has a dedicated instructor and teaching assistant; instructors are subject to change.

    Where do students stay on Introduction to Statistical Analysis?

    Residential plan

    • Campus housing: Students live at Vanderbilt's Martha Rivers Ingram Commons in first-year residence halls.
    • Meals: All meals are provided, mainly in campus dining halls, from arrival-day dinner through departure-day breakfast.
    • Supervision and welfare: Classroom assistants and residential proctors support students, with staff accompaniment for this grade band.
    • Social activities: Organized recreational activities and small proctor groups help students connect beyond class.

    Most rooms are doubles, with some triples; roommates are randomly assigned and disclosed at arrival.

    What happens after Introduction to Statistical Analysis?

    After completing this program, participants often pursue:

    Build a foundation for further study in statistics and data analytics.

    Practice conducting and interpreting analyses of provided datasets.

    Develop graph-making skills using hand methods and spreadsheet software.

    Receive written feedback and a performance evaluation from your instructor.

    VSA does not award academic credit; recommendation letters are at the instructor's discretion.

    Where does Introduction to Statistical Analysis take place?

    The course takes place at Vanderbilt University in Nashville, Tennessee, with residential life centered on the Martha Rivers Ingram Commons. Nashville International Airport is approximately 20 minutes from campus, and PTY arranges staff-accompanied airport transport for students flying alone.

    VSA cannot provide airline Unaccompanied Minor escorts; students flying alone must meet their airline's independent-travel requirements.

    Introduction to Statistical Analysis FAQs

    You will explore descriptive statistics, correlation and regression, significance testing, and confirmatory versus exploratory analyses. Examples connect the methods with education, medicine, and sports.

    Yes. Students conduct and interpret their own analyses using provided datasets and instructions, making graphs by hand and with Excel or Google Sheets.

    The 2026 instructor was Gabriella Noreen, a doctoral candidate in Vanderbilt's Quantitative Methods Program. She holds an M.S. in Quantitative Methods and has several years of PTY teaching experience.

    VSA awards neither grades nor academic credit. Instead, students receive written instructor feedback and a performance evaluation.

    Students stay at Vanderbilt's Martha Rivers Ingram Commons. Most share double rooms, with some triple rooms; roommates are randomly assigned and disclosed at arrival.

    Seventh- through tenth-grade students are accompanied by PTY staff during the academic day and afternoon and evening activities. Each student also has a classroom assistant and residential proctor.

    All meals are provided from arrival-day dinner through departure-day breakfast. Most dietary needs can be accommodated with adequate advance notice and completed health forms.

    Qualifying families can request need-based aid within the application and submit financial documentation. The stated criteria include adjusted gross income of $105,000 or less, or severe hardship; international students are not eligible for PTY aid.

    Alternatives to Introduction to Statistical Analysis

    Compare these options if your priorities include broader STEM exploration, online study, or mathematics preparation for older students.

    Alternatives to Introduction to Statistical Analysis

    Save this program in Succeed to compare it with similar programs, dates, costs and formats in one place.

    Compare with other programs
    Sean Stevens

    Content reviewed by

    Sean Stevens

    Co-founder, Succeed | Founder, Immerse Education (2012–2026)

    Sean works at the intersection of academic enrichment, program quality and university preparation, with expertise in evaluating pre-university experiences for ambitious secondary school students.

    Sources and verification

    Source types reviewed

    • Apply to a PTY Program | Program for Talented Youth | Vanderbilt University
    • Vanderbilt Summer Academy - Program for Talented Youth | Program for Talented Youth | Vanderbilt University
    • PTY Precollege Admitted Students - Program for Talented Youth | Program for Talented Youth | Vanderbilt University
    • VSA Frequently Asked Questions - Program for Talented Youth | Program for Talented Youth | Vanderbilt University
    • Apply to VSA! - Program for Talented Youth | Program for Talented Youth | Vanderbilt University
    • VSA Tuition & Financial Assistance - Program for Talented Youth | Program for Talented Youth | Vanderbilt University
    • Eligibility & Session Dates - Program for Talented Youth | Program for Talented Youth | Vanderbilt University
    • Vanderbilt Summer Academy Summer 2026 Precollege Courses | Program for Talented Youth | Vanderbilt University

    Succeed uses official provider information where available, but keeps this public page focused on comparison and planning inside Succeed.

    What we verified (on 9 Oct 2026)

    • Course title verified

    • Grade-level track reviewed

    • Course session dates checked

    • Application process reviewed

    • Financial assistance reviewed

    • Residential supervision reviewed

    • Academic outcomes checked

    How Succeed uses this information

    We use source material to verify core facts, then show older cycle dates as reference when a current cycle is not available. Always check current application instructions before applying.