DATASTATPRO / THE PRACTICE LAB

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One dataset at a time.

Free statistics practice datasets, guided exercises, and a clear path from raw data to a result you can explain.

Choose your exercise ↓Teaching a class?

CHOOSE A QUESTION

What would you like to practice?

Start with a question that interests you. Each kit includes a CSV, a worksheet, and a guided analysis checklist. No account is needed to download.

Exercise 01 / 20–30 min suggested

Describe a student survey

How do study time and satisfaction vary in a small practice survey?

24synthetic records

Meet your dataset

One row per fictional participant. Three columns. No missing values.

First 5 of 24 records
participant_idstudy_hourssatisfaction
S0142
S0273
S03124
S0463
S0594
↓ Download CSVDownload exercise worksheet
Understand the variables
participant_id
Synthetic identifier; exclude from calculations
study_hours
Hours per week
satisfaction
Ordered response from 1 (low) to 5 (high)
Your finished exercise

A distribution plot and a short descriptive summary

Your analysis checklist

Use these steps alongside the tutorial. Tick off each step as you work.

Describe a student survey checklist

Checklist progress lasts until you reload this page.

Open the guided tutorial →Explore the analysis tool

Turn results into an explanation

Describe the study-hours distribution, then summarize the satisfaction responses. Explain why participant IDs are excluded from your analysis.

Check your reasoning

Did you treat satisfaction as an ordered response and distinguish its frequencies from the distribution of study hours?

Exercise 02 / 25–35 min suggested

Explore a correlation

What relationship appears between practice hours and assessment scores in simulated data?

24synthetic records

Meet your dataset

One row per fictional participant. Three columns. No missing values.

First 5 of 24 records
participant_idpractice_hoursassessment_score
C01248
C02954
C031681
C04651
C051373
↓ Download CSVDownload exercise worksheet
Understand the variables
participant_id
Synthetic identifier; exclude from calculations
practice_hours
Hours of practice
assessment_score
Practice assessment points out of 100
Your finished exercise

A scatterplot and a justified correlation analysis

Your analysis checklist

Use these steps alongside the tutorial. Tick off each step as you work.

Explore a correlation checklist

Checklist progress lasts until you reload this page.

Open the guided tutorial →Explore the analysis tool

Turn results into an explanation

Describe the pattern in the scatterplot. Justify your correlation method, report its coefficient, and explain what it does and does not tell you.

Check your reasoning

Did you inspect the scatterplot before choosing a method? A correlation in constructed data cannot show a causal effect.

Exercise 03 / 25–35 min suggested

Compare paired measurements

How do practice scores change when the same fictional participants complete two assessments?

20synthetic records

Meet your dataset

One row per fictional participant. Three columns. No missing values.

First 5 of 20 records
participant_idbefore_scoreafter_score
P014846
P025761
P036673
P047578
P055463
↓ Download CSVDownload exercise worksheet
Understand the variables
participant_id
Synthetic identifier; matches each pair
before_score
Assessment points before practice
after_score
Assessment points after practice
Your finished exercise

A paired comparison and an interpretation of change

Your analysis checklist

Use these steps alongside the tutorial. Tick off each step as you work.

Compare paired measurements checklist

Checklist progress lasts until you reload this page.

Open the guided tutorial →Explore the analysis tool

Turn results into an explanation

Define the direction of the difference, describe the within-person changes, and report the comparison with its uncertainty where available.

Check your reasoning

Did you keep each participant’s observations together and inspect the differences rather than treating the two columns as independent groups?

Ready to use your data in DataStatPro?

Download the CSV, sign in, and import it through data management. Educational, Standard, Pro, and Edu Pro accounts support personal-data import. Guest Access uses the app’s built-in sample datasets.

Free Educational Accounts are available to students, teachers, and researchers with a valid email domain containing .edu. Everyone can try Standard free for 15 days. Features and limits vary by plan.

Open DataStatPro → Compare access options

FOR TEACHERS

A ready-to-use classroom activity

Give learners a question to investigate, then compare the choices they made—not just their final numbers.

Download data and reuse notes
  1. Set the questionShare a CSV and its worksheet before the lesson.
  2. Ask learners to justify a methodUse the checklist to discuss assumptions and alternatives.
  3. Compare interpretationsAsk for a figure, a short result, and one limitation.

All records are synthetic and may be reused freely. They are not research findings or evidence about real populations. For assessed research, use your own question and data.

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