Learning statistical investigation checklist
See also: statistical-investigation-checklist, teaching-mathematics
A nascent attempt to develop a checklist/framework for scaffolding learning activities about statistical investigation.
The checklist is intended to help people answer a question like "What are the features of a statistical investigation?" or "How do I judge the quality of this statistical investigation?". Developed initially for mat081c-2024-u1-statistical-investigation
Design#
Options for structure
Statistical investigation cycle#
Perhaps use the following statistical investigation cycle
- initial questions (/claim);
- issues and planning;
- collecting, handling, checking data
- exploring, interpreting data in context
CSER checklist#
- planning and conducting
- displaying and analysing
4 phases#
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Pose a question/conclusion
- What's the question or the claim
- About what population? What do we know about that population
- What was the answer?
- Who posed the question and generate the answer?
- What's the question or the claim
-
Collect data
- What data was gathered?
- About what part of the population?
- What type of data?
- What type of questions
- How was it gathered?
- measurement, questionnaire, observation, etc
-
Analyse the data
- Display collected data in appropriate format
- Describe data collected referring to evidence in displays
-
Interpret the results
- Make statement about implications or possible actions
- Make conclusions on the basis of statistical investigations
Data detective#
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Problem
Understand and define problem. Pose investigative questions
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Plan
Measures: what, why, when, where, "who", how. Ethics
-
Data
Collect/source, manage, clean
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Analysis
Sort data, make tables, graphs, summaries. Describe and reason from data. Look for patterns
-
Conclusion
Answer investigative questions. Communicate findings. Reflect and evaluate. New ideas