Tauanga Data Investigations
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Tauanga Data Investigations
Core: Kohikohi raraunga — Collecting data (Years 3–4)
Learning intention: We are learning to collect, sort and display categorical data.
Success criteria: I can ask a clear question, record answers using tally marks, count frequencies and describe what my data shows.
Preferred fruit: apple, banana, orange or other.
Optional teacher-approved alternative: How do you travel to school?
My survey question: ____________________________________________________________
My categories: _________________________________________________________________
Category Tally Frequency
________________ __________________ __________
________________ __________________ __________
________________ __________________ __________
________________ __________________ __________
Total responses: __________
Extend: Te huringa tūhuratanga — Statistical investigation (Years 5–6)
Use the numerical data below. It shows the number of pages read by nine learners in one week:
4, 7, 5, 7, 3, 6, 7, 5, 2
________________________________________________________________________________
Least: __________ Greatest: __________ Most common: __________
Range: __________ Median: __________
Challenge: Pātai tūhuratanga and responsible data (Year 7)
Example: How does the class travel to school on a typical day?
Teacher guidance and likely answers
Question 5: 2, 3, 4, 5, 5, 6, 7, 7, 7.
Question 6: Least = 2; greatest = 7; most common = 7; range = 5; median = 5.
Questions 1–4: Answers depend on the class survey. Check that every response is included once, tally marks are grouped in fives, frequencies are correct, the total matches the number surveyed, and the graph matches the table.
Questions 7–9: Accept evidence-based responses. Possible observations include that 7 is the mode, the values range from 2 to 7, and the median is 5. Limitations may include a small sample, surveying only one group, unclear categories, asking at one time of day, or people choosing an answer they think is expected.
Questions 10–12: Look for a measurable investigative question, a suitable display such as a bar graph for categories or a dot plot for numerical data, and a conclusion supported by frequencies or numerical values. Responsible collection should be voluntary, respectful, anonymous where appropriate and free from leading questions.
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