Skip to content
DeepForgeby svx
Intermediatestatisticshypothesis-testingconfidence-intervalsbootstrap

Statistics Mastery

29 problems·~11h·4 stages

Turn data into decisions: descriptive statistics, sampling distributions, hypothesis tests, and robust methods. You will implement t-tests, confidence intervals, bootstrap resampling, rank correlations, and multiple-comparison corrections. Best for aspiring data scientists and analysts who need to defend their conclusions.

Your progress

0/29 · 0%

Path readiness 0%Easy 0% · Medium 0% · Hard 0%

Continue path · Mean

What you will learn

  • Summarize datasets with robust, weighted, and standardized descriptives
  • Quantify relationships with covariance, correlation, and rank measures
  • Run and interpret t-tests, confidence intervals, and non-parametric tests
  • Correct for multiple comparisons and resample with the bootstrap

Before you start

1Describing Data

0/8

Center, spread, and shape: means (including weighted), variance, median, mode, z-scores, standard error, and coefficient of variation.

Stage checkpoint

0/2 to pass

A checkpoint is a short retrieval test drawn from this stage: solve 2 of 3 from memory to mark the stage complete. The stage stays open either way.

Tried this set and did not pass? Record it — the next set swaps in fresh problems from the same stage.
LabRecommended next stepLogistic Regression, From ScratchEasy

2Relationships Between Variables

0/8

How variables move together: covariance, Pearson correlation, correlation matrices, trimmed means, quartiles, percentiles, skewness, and rolling means.

Stage checkpoint

0/2 to pass

A checkpoint is a short retrieval test drawn from this stage: solve 2 of 3 from memory to mark the stage complete. The stage stays open either way.

Tried this set and did not pass? Record it — the next set swaps in fresh problems from the same stage.
LabRecommended next stepLogistic Regression, From ScratchEasy

3Inference from Samples

0/7

Draw conclusions from data: one-sample and Welch t-statistics, degrees of freedom, confidence intervals with unknown sigma, KS statistics, permutation p-values, and bootstrap intervals.

Stage checkpoint

0/2 to pass

A checkpoint is a short retrieval test drawn from this stage: solve 2 of 3 from memory to mark the stage complete. The stage stays open either way.

Tried this set and did not pass? Record it — the next set swaps in fresh problems from the same stage.
LabRecommended next stepLogistic Regression, From ScratchEasy

4Robust Tests and Multiple Comparisons

0/6

When assumptions break and tests multiply: rank correlations with ties, Mann-Whitney U, bootstrap-t and percentile intervals, permutation tests on medians, sign flips, and Benjamini-Hochberg.

Stage checkpoint

0/2 to pass

A checkpoint is a short retrieval test drawn from this stage: solve 2 of 3 from memory to mark the stage complete. The stage stays open either way.

Tried this set and did not pass? Record it — the next set swaps in fresh problems from the same stage.
LabRecommended next stepLogistic Regression, From ScratchEasy

Capstone

Collection

Close the path with one real artifact from the catalog.

Statistics for ML Interviews

The hypothesis-testing and multiple-testing toolkit from this path, assembled as A/B-test practice.