A clearer view of business statistics
Statistics,
made visible.
Move a slider. Ask a question. See the idea.
Build your intuition, one concept at a time.
12 modules. One clear path through statistics.
A first look
An area. A probability.
Small steps.
Lasting understanding.
Make yourself curious
Start with an idea.
A few places to begin.
Explore the full course below.
The normal distribution
Move a cutoff. See how the area under a curve becomes a probability.
Confidence intervals: z
Connect sample size and confidence with the precision of an estimate.
Confidence intervals: t
Explore the extra uncertainty when the population spread is unknown.
New to statistics? Begin with questions, data, and sampling →
The learning path
A little structure.
A lot to discover.
A focused path through statistics,
organized into 12 manageable modules.
All 12 modules available · 15 lessons
The foundations 01–04
01Data & statistical thinking
Define a statistical question, identify variables, and see how sampling bias affects an answer.
02Describing data
03Probability
Connect events, conditional probability, independence, and Bayes’ rule.
04Probability distributions
Model counts with binomial and Poisson distributions, then explore a continuous normal curve.
Learning from samples 05–08
05Sampling distributions
Simulate repeated samples and connect sample size, standard error, and the central limit theorem.
06Confidence intervals
Understand how sample size, variability, and confidence affect precision.
07Hypothesis testing
Test a claim, interpret a p-value, and distinguish statistical evidence from practical importance.
08Comparing two groups
Compare independent means, paired observations, and two population proportions.
Making connections 09–12
09Categorical data
Read a contingency table and compare observed counts with independence.
10Correlation & regression
11Analysis of variance
Compare several means by separating between-group and within-group variation.
12Resampling & simulation
Construct bootstrap intervals and investigate group differences with a permutation test.
Follow the sequence or open the topic you need. Interactive examples, worked explanations, and practice at your own pace.
The StatsCove approach
Understanding starts
with “what if?”
What if the sample were larger? What if the data were more spread out? What if we wanted to be more confident?
StatsCove gives those questions a place to go. Each lesson brings a statistical idea, an interactive visual, and a little room to experiment together.
Try asking a question