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Multivariate Data Exploration
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Multivariate Data Exploration
📚 Part 1: Concepts and Examples
1. Which best describes multivariate data?
Data collected over several years for one variable (time-series)
Data that records more than one variable for each person or thing
A single measurement such as height only
A list of prices in dollars ($) only
2. Which of these is an example of multivariate data?
Temperature each day (°C)
Students' favourite sport and their age
Lengths of fish caught (cm)
3. Check all that are variables in a school lunchtime survey:
Age (years)
Favourite lunch item
Student ID number
Class room location (e.g., Room 12)
4. Match the type of investigation to the example:
A. Summary
B. Comparison
C. Time-series
D. Relationship
1. How many students prefer each lunch option?
2. Do boys and girls differ in favourite sport?
3. Does hours of screen time relate to hours of sleep?
4. Changes in average daily temperature during a month (°C)
✏️ Part 2: Pose Questions, Make Conjectures & Ethics
5. Identify the variables and a possible group of interest from this dataset:
"A class survey recorded each student's gender, hours of screen time per day, and favourite sport."
6. Write one investigative question that could be answered with the dataset above. Then choose the investigation type:
Summary
Comparison
Time-series
Relationship
7. Make a short conjecture (what you expect to find) about your question:
8. Ethical consideration: List two brief practices to follow when collecting survey data from classmates:
9. Reflection — write one thing you learned about multivariate data and one question you still have:
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