Who is missing from the data?
A sampling frame defines who could enter the data and who could not.
Background and goal
Try the short introduction first, or bring equivalent reading experience. Obtain the specified text before beginning the longer reading.
Design a library-use survey and identify two groups an online-only questionnaire could miss.
Useful preparation
Start here if the background is new. Equivalent experience is enough.
Introduction to Statistics & data
Introduces the vocabulary and a small example before the longer study.
Your pathway
5 steps · 14 hours- 01
Locate the reading
0.25h · week 1Reading notes and task
First fifteen minutesCheck the edition or article version and locate the passages below. Write the question you want the reading to resolve.Your outputEdition and passage record - 02
Study the opening
4h · week 1Introductory Statistics 2eOpenStax · book
Chapter 1, sampling and experimental design
Free full text
Open the readingReading notes and task
Introductory Statistics 2e. A sampling frame defines who could enter the data and who could not.
Try thisRead Chapter 1, sampling and experimental design. Reconstruct the central argument using premises and a conclusion.Your outputArgument reconstructionCheck your understanding
Answer this question in your own words: Who is missing from the data?
Hint
Name the claim, then explain why a reader might accept it.
Compare with an example answer
A sampling frame defines who could enter the data and who could not.
What to look for
- States a claim that addresses the question
- Connects the claim to a passage or observation
- Separates the author’s argument from personal agreement
Common mistake: Summarising a biography instead of explaining the argument.
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- 03
Read for contrast
5h · week 2Introductory Statistics 2eOpenStax · book
Chapter 1, sampling and experimental design
Free full text
Open the readingReading notes and task
Introductory Statistics 2e. A sampling frame defines who could enter the data and who could not.
Try thisRead Chapter 1, sampling and experimental design. Compare two passages that put pressure on your initial interpretation.Your outputTwo-passage comparison - 04
Develop an example
3h · week 3Reading notes and task
Try thisDesign a library-use survey and identify two groups an online-only questionnaire could miss.Your outputWorked exampleCheck your understanding
What would make your activity a convincing example?
Hint
Design a library-use survey and identify two groups an online-only questionnaire could miss.
Compare with an example answer
A useful response carries out the task: Design a library-use survey and identify two groups an online-only questionnaire could miss. It records the observation or passage used and explains how it bears on the question.
What to look for
- Completes the specific task
- Shows evidence or reasoning rather than only a conclusion
- Identifies an alternative explanation or reading
Common mistake: Presenting an opinion without showing the example it rests on.
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- 05
Write a considered response
1.75h · week 4Reading notes and task
Try thisWrite a response to “Who is missing from the data?” that uses both passages and tests its own conclusion. Missingness cannot be repaired merely by calculating a precise average.Your outputReasoned response with referencesCheck your understanding
What is one conclusion this reading does not establish?
Hint
Test the boundary: Missingness cannot be repaired merely by calculating a precise average.
Compare with an example answer
Missingness cannot be repaired merely by calculating a precise average.
What to look for
- States a specific limit
- Explains why the reading does not warrant the stronger conclusion
- Distinguishes a limitation from dismissing the work
Common mistake: Treating a useful interpretation as an unrestricted fact.
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All 1 resources
Background, different viewpoints, and further reading.
Introductory Statistics 2e
A sampling frame defines who could enter the data and who could not.
Chapter 1, sampling and experimental design