Evidence to Conclusion

Overview

In this fifth lesson of the six-lesson unit Interpret Statistical Information, students move from describing data to selecting evidence that answers a stated purpose. The teacher models how to build a justified conclusion, then students independently plan and draft a response to a contextual statistical task.

Learning intentions

• WALT restate the purpose of a statistical investigation in context.
• WALT select relevant and accurate statistics, displays and features.
• WALT connect evidence to the purpose and acknowledge meaningful limitations.
• WALT communicate a justified conclusion rather than simply describing data.

Success criteria

• I can restate the purpose and identify the relevant population, variables and displays.
• I can select several accurate statistics or features and explain how each relates to the purpose.
• I can identify a meaningful limitation or competing interpretation.
• I can write a conclusion that answers the purpose and is justified by evidence.

Curriculum links

• Evaluate a statistically based report by identifying survey features, findings, errors, sample size and limitations.
• Use statistical methods to make an inference by linking evidence, context, population and variability.
• Communicate statistical findings using appropriate displays, measures and conclusions.
• NZC values and competencies: thinking; using language, symbols and texts; managing self; participating and contributing.

Lesson structure (60 minutes)

1. 0–7 min · Hook and purpose. Teacher opens the hook and learning intention slides with the claim, “Our community should invest in evening activities because participation is increasing,” and asks, “What evidence would we need before accepting this?” Students individually identify the purpose, then discuss which information would be relevant and why.

2. 7–20 min · Model the reasoning chain. Teacher uses the teacher modelling slides to model: purpose/question → relevant variables and displays → key patterns or comparisons → limitations → conclusion and implications. Think aloud while selecting two or three pieces of evidence from an approved sample report, explicitly rejecting interesting but irrelevant statistics. Students annotate the evidence-selection and conclusion worksheet and suggest links between each evidence choice and the purpose.

3. 20–27 min · Quality comparison. Teacher displays the exemplar comparison slides and gives students three short conclusions from different quality levels in the evidence-selection and conclusion worksheet. Students rank them, identify where evidence is accurate or relevant, and explain which response is justified rather than merely descriptive. Brief class discussion makes the difference between Achievement, Merit and Excellence-style reasoning visible without treating the levels as a marking decision.

4. 27–43 min · Independent planning and drafting. Teacher distributes the approved assessment task and directs students to plan and begin a response: “A school or community group is considering how to improve participation in a local activity or service. Using the supplied statistical information, interpret the data for the stated purpose. Describe relevant displays and variables, identify patterns or distributions, compare groups or time periods where appropriate, evaluate the claim and limitations, select relevant evidence, and communicate a justified conclusion.” Students complete the evidence map and draft their response independently. The teacher conferences briefly, asking, “How does this evidence answer the purpose?” and “What does the data allow you to claim?”

5. 43–53 min · Evidence-map feedback. Teacher reviews each student’s evidence map, giving feed-forward on relevance, context, accuracy and justification rather than rewriting responses. Students use the feedback to strengthen one evidence-to-purpose link, clarify one statistic or feature, and add a meaningful limitation. Students who finish early acknowledge a competing interpretation or explain what further data would be useful.

6. 53–60 min · Self-assessment and exit response. Teacher uses the checklist and plenary slides to lead a final review. Students complete the checklist in the evidence-selection and conclusion worksheet and write an exit response: “My strongest evidence is ___ because it helps answer the purpose by ___. One limitation or further question is ___.” Collect the evidence maps and drafts for planning the final lesson.

Assessment-materials note: Before use as assessment, check or replace the task wording, supplied data, submission conditions, authenticity requirements and marking schedule with the organisation’s approved materials for US 26626. Do not treat this classroom draft as the final assessment instrument.

Resources

• the complete evidence-to-conclusion slide deck
• the evidence-selection and conclusion worksheet
• Approved assessment materials and supplied statistical information
• Evidence-map template
• Exemplars at different quality levels
• Learner self-assessment checklist
• Highlighters or coloured pens
• Timer and board/projector

Assessment

• During the hook and modelling, question students about relevance, accuracy, context and the purpose of evidence.
• Review each evidence map during drafting; record whether students select appropriate evidence, link it to the purpose and recognise a limitation.
• Collect the draft, checklist and exit response to identify students needing support with interpretation or justification in Lesson 6.

Differentiation

• Provide a structured evidence map with prompts: “The purpose is…”, “This display shows…”, “The evidence suggests…”, “This matters because…”, and “A limitation is…”.
• Offer audio or read-aloud versions of the data and task, a statistical glossary, enlarged displays and chunked instructions for students with reading, processing or visual needs.
• Allow conferencing, speech-to-text and staged deadlines; check understanding privately before independent drafting.
• Extend confident students by requiring a competing interpretation, discussing sampling or non-sampling limitations, or specifying what additional data would make the conclusion more reliable.