Statistics for Kids

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Statistics for Kids

by Ryan Semerau

Ages 7-12MathematicsStatistics

The second book in the Probability and Statistics for Kids series. Teaches statistics from the ground up - types of data, collection methods, sampling and bias, organizing and graphing data, mean/median/mode, spread, the normal distribution, correlation, experiments, significance, and how to spot misleading statistics. Real-world examples from school, sports, medicine, and everyday life.

Contents

16 chapters · 76 lessons · first 6 free
  • IntroductionFree

1 · Getting Started with Data

  • 1.1 · What Is StatisticsFree
  • 1.2 · Data Is EverywhereFree
  • 1.3 · Descriptive vs Inferential StatisticsFree
  • 1.4 · Why Statistics MattersFree
  • Chapter 1 TestFree

2 · Types of Data

  • 2.1 · Categorical DataFree
  • 2.2 · Numerical Data🔒
  • 2.3 · Discrete vs Continuous Data🔒
  • 2.4 · Choosing the Right Type🔒
  • Chapter 2 Test🔒

3 · Collecting Data

  • 3.1 · Observation🔒
  • 3.2 · Surveys and Questionnaires🔒
  • 3.3 · Experiments🔒
  • 3.4 · Censuses and Why Collection Matters🔒
  • Chapter 3 Test🔒

4 · Sampling and Bias

  • 4.1 · Populations and Samples🔒
  • 4.2 · Random Sampling🔒
  • 4.3 · Bias: When Samples Go Wrong🔒
  • 4.4 · Sample Size🔒
  • Chapter 4 Test🔒

5 · Organizing Data

  • 5.1 · Frequency Tables🔒
  • 5.2 · Grouping Data🔒
  • 5.3 · Sorting and Rank Order🔒
  • 5.4 · Two-Way Tables🔒
  • Chapter 5 Test🔒

6 · Graphs and Charts

  • 6.1 · Bar Charts🔒
  • 6.2 · Line Graphs🔒
  • 6.3 · Pie Charts and Histograms🔒
  • 6.4 · Choosing the Right Graph🔒
  • Chapter 6 Test🔒

7 · Center - Mean, Median, and Mode

  • 7.1 · The Mean (Average)🔒
  • 7.2 · The Median (Middle Value)🔒
  • 7.3 · The Mode (Most Frequent)🔒
  • 7.4 · When Mean, Median, and Mode Disagree🔒
  • Chapter 7 Test🔒

8 · Spread - Range, Variance, and Standard Deviation

  • 8.1 · Center Is Not the Whole Story🔒
  • 8.2 · Range🔒
  • 8.3 · Interquartile Range (IQR)🔒
  • 8.4 · Standard Deviation🔒
  • Chapter 8 Test🔒

9 · The Normal Distribution

  • 9.1 · The Bell Curve🔒
  • 9.2 · The 68-95-99.7 Rule🔒
  • 9.3 · What "Normal" Really Means🔒
  • 9.4 · Percentiles and the Bell Curve🔒
  • Chapter 9 Test🔒

10 · Correlation

  • 10.1 · Scatter Plots🔒
  • 10.2 · Positive and Negative Correlation🔒
  • 10.3 · Strength of Correlation🔒
  • 10.4 · Correlation Is Not Causation🔒
  • Chapter 10 Test🔒

11 · Misleading Statistics

  • 11.1 · Misleading Graphs🔒
  • 11.2 · Cherry-Picking Data🔒
  • 11.3 · Missing Context🔒
  • 11.4 · Loaded Survey Questions🔒
  • Chapter 11 Test🔒

12 · Experiments and Causation

  • 12.1 · The Problem with Observation🔒
  • 12.2 · Control Groups🔒
  • 12.3 · Variables and Random Assignment🔒
  • 12.4 · Confounders🔒
  • Chapter 12 Test🔒

13 · Statistical Significance

  • 13.1 · Could It Just Be Chance🔒
  • 13.2 · What "Significant" Means in Statistics🔒
  • 13.3 · The P-Value (Intuitive Version)🔒
  • 13.4 · Replication: The Real Test🔒
  • Chapter 13 Test🔒

14 · Statistics in the Real World

  • 14.1 · Polls and Elections🔒
  • 14.2 · Sports Statistics🔒
  • 14.3 · Medical Studies🔒
  • 14.4 · How Statistics Are Reported🔒
  • Chapter 14 Test🔒

15 · Thinking with Data

  • 15.1 · The Statistical Toolkit🔒
  • 15.2 · Asking Good Questions🔒
  • 15.3 · Healthy Skepticism🔒
  • 15.4 · What You Know Now🔒
  • Chapter 15 Test🔒

What you'll learn

  • What statistics is and why it matters
  • The difference between categorical and numerical data
  • How to collect data through observation, surveys, and experiments
  • What sampling and bias are and why they matter
  • How to organize data with frequency tables and two-way tables
  • How to choose and read the right graph for your data
  • How to calculate and compare mean, median, and mode
  • What spread is and how to measure it with range, IQR, and standard deviation
  • What the normal distribution is and how to use the 68-95-99.7 rule
  • What correlation is and why it is not the same as causation
  • How to spot misleading graphs, cherry-picked data, and loaded questions
  • How experiments establish causation using control groups and random assignment
  • What statistical significance means and why replication matters
  • How to evaluate polls, medical studies, and statistics in the news

How to use this workbook

15 chapters, designed for one chapter per week (4 short lessons per week plus a chapter test). Each lesson takes about 15-20 minutes - read the lesson, talk it over with the AI tutor, then answer a few short questions in your own words.

Prerequisites

Basic arithmetic (addition, subtraction, multiplication, division). Probability for Kids (Book 1 in this series) is recommended, as statistics builds on probability concepts like chance, distributions, and the law of large numbers. Fractions and percentages are used throughout.