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

1. 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?

2. 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

3. Analyse the data

   • Display collected data in appropriate format
   • Describe data collected referring to evidence in displays

4. Interpret the results

   • Make statement about implications or possible actions
   • Make conclusions on the basis of statistical investigations

Data detective

1. Problem

   Understand and define problem. Pose investigative questions

2. Plan

   Measures: what, why, when, where, "who", how. Ethics

3. Data

   Collect/source, manage, clean

4. Analysis

   Sort data, make tables, graphs, summaries. Describe and reason from data. Look for patterns

5. Conclusion

   Answer investigative questions. Communicate findings. Reflect and evaluate. New ideas