Statistics Basics Data Science & Python

Prompts

• Which Statistical Test Should I Use

  Pick a test from the data and question.

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• Confidence Intervals Explained With My Numbers

  Understand what an interval does and does not say.

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• A/B Test Plan and Sample Size

  Plan a test before collecting data.

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• Interpret My Regression Output

  Read coefficients, intervals, and diagnostics.

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• Probability Puzzles Tutor

  Learn probability through questions, not lectures.

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• Sampling and Bias Review

  Check whether a sample can answer the question.

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• Correlation versus Causation Checklist

  Test a causal claim before believing it.

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• Outlier Handling Decision Guide

  Decide to keep, fix, or remove extreme values.

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• Bootstrap and Simulation Walkthrough

  Estimate uncertainty with resampling.

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• Statistical Claims in the News: Fact Check

  Evaluate a headline that cites a study.

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• Descriptive Statistics Summary for Non-Technical Readers

  Turn a table of numbers into plain findings.

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• Survey Data Analysis Plan

  Plan the analysis before looking at results.

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• Bayesian Thinking for Everyday Decisions

  Update beliefs with evidence step by step.

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• Statistics Report Review Rubric

  Check an analysis write-up for errors and overreach.

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• Multiple Comparisons and False Positives Explainer

  Understand why many tests produce spurious wins.

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• Power Analysis Walkthrough

  Work out how much data you need.

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• Non-Parametric Test Chooser

  Decide when to avoid normality assumptions.

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• Chi-Square and Categorical Data Walkthrough

  Test relationships between categories.

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• Effect Sizes and Practical Significance

  Report how big a difference is, not just if it exists.

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• Regression Diagnostics Checklist

  Check a regression model's assumptions.

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• Explaining P-Values to Managers

  Communicate statistical results without jargon.

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