📊 Statistics Lab

enter any data · histogram · box plot · scatter plot · mean · median · std dev

Your Data
Enter numbers separated by commas or new lines.
Bins: 8
Your Data
Enter numbers separated by commas or new lines.
X values (one per line)
Y values (one per line)
Correlation coefficient r = —
Z-Score → Probability
Probability → Z-Score
Table shows Φ(z) = area to the left of z under the standard normal curve. Values rounded to 4 decimal places.
What is this?

Statistics is the science of collecting, analysing, and interpreting data. These three visualisations cover the most important tools in descriptive statistics — summarising what your data looks like before drawing any conclusions.

Why does it matter?

Statistics is used in every field — medicine (clinical trials), economics (market trends), social science (surveys), and machine learning (training data). Being able to visualise and summarise data is the first step in any analysis.

Key terms
Mean — arithmetic average: sum of values ÷ count Median — middle value of sorted data; robust to outliers Standard deviation — average distance of values from the mean; measures spread Quartiles Q1/Q3 — the 25th and 75th percentiles; IQR = Q3 − Q1 Outlier — a value more than 1.5 × IQR below Q1 or above Q3 (Tukey's rule) Correlation (r) — measures linear relationship strength; ranges from −1 to +1
🎯 Try this challenge

In the Histogram tab, add the value "150" to the dataset (far from the others). How does it affect the mean vs the median? In the Box Plot tab, you'll see it appear as an outlier dot. This is why the median is called "robust" — it barely moves. Now try the Scatter tab: replace Y values with random numbers — what happens to r?

Continue Learning
Probability