MegaMaester

Statistics for Everyday Life · Module 2

Making Sense of Evidence

Module 1 covered describing data you have. This module covers reasoning from data to conclusions about people you did not measure — which is where statistics gets both powerful and treacherous.

It ends with the manipulations you will actually meet, and a capstone that turns the whole subject on a real article.

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

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Lessons

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Making Sense of Evidence — Module Assessment

13 questions · pass mark 75%

  1. 1.Why can a random sample of 1,000 represent millions?
  2. 2.A website poll gets 8,000 responses. Why might it still mislead?
  3. 3.What does a margin of error cover?
  4. 4.A correlation coefficient near zero means:
  5. 5.Why is extrapolation risky?
  6. 6.A drug doubles a side effect risk of 1 in 20,000. What is the absolute change?
  7. 7.A number needed to treat of 100 means:
  8. 8.When is expected value the wrong tool?
  9. 9.A result shows improvement of 8 points, 95% CI −2 to 18. What does it establish?
  10. 10.How can a statistically significant result be unimportant?
  11. 11.Analysing only returning aircraft to decide where to add armour is an example of:
  12. 12.'Support rose 5%' is ambiguous because:
  13. 13.Name three of the seven questions to ask of any statistic.
Answer every question to submit.