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Statistics for Everyday Life · Module 1

Understanding Data

This module builds the vocabulary and the intuition: what statistics is actually for, what kinds of data exist and which summaries suit each, how to read a chart without being led by it, and why a single number describing a group is always a compression that loses something.

It closes with probability — the language for talking about what has not happened yet.

Lessons
6 lessons
Estimated time
~6-8 hours
Assessment
Module quiz included

Not started yet

Lessons

Lesson 1 · 16 min

What Is Statistics?

Lesson 2 · 16 min

Types of Data

Lesson 3 · 17 min

Visualising Data

Lesson 4 · 17 min

Averages and Distributions

Lesson 5 · 17 min

Variation and Spread

Lesson 6 · 18 min

Probability in Everyday Life

Check your understanding

Finish the lessons, then test yourself. Your best score is saved on this device. You can also open this quiz on its own page.

Understanding Data — Module Assessment

12 questions · pass mark 75%

  1. 1.What makes statistics necessary?
  2. 2.Which is a descriptive rather than inferential statement?
  3. 3.Why can you not average department codes (Marketing = 1, Sales = 2)?
  4. 4.What assumption does averaging a 1–5 satisfaction scale make?
  5. 5.What distinguishes a histogram from a bar chart?
  6. 6.A dataset has mean £50,000 and median £27,500. What does the gap indicate?
  7. 7.When is the mean the better summary despite skew?
  8. 8.Two delivery routes both average 30 minutes. Why might they not be equivalent?
  9. 9.What is regression to the mean?
  10. 10.After five heads in a row, what is the chance the next flip is tails?
  11. 11.A test is 99% accurate for a condition affecting 1 in 1,000. A positive result means roughly:
  12. 12.In plain language, explain why the mean and median can tell different stories about the same incomes.
Answer every question to submit.