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Statistics for Sustainability
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Statistics for Sustainability
📚 Part 1: Multiple Choice & Quick Checks
1. Which statistic best describes a typical value when daily high temperatures are slightly skewed by a few very hot days?
Mean
Median
Mode
Range
2. AQI readings from seven monitoring sites: 42, 55, 55, 60, 72, 80, 95. What is the mode?
42
55
60
72
3. Which measure would you use to describe variability across yearly CO2 increase values?
Mean
Median
Mode
Range
4. Check all practices that help reduce sampling bias when counting species in a park:
Only sampling near the parking lot
Randomly selecting survey plots across habitat types
Sampling at the same time of day across locations
Recording only the most common species
✏️ Part 2: Calculations, Matching, & Short Responses
5. Calculate the mean, median, mode, and range for annual CO2 increase (ppm): 2.1, 1.9, 2.4, 2.1, 2.8. Show work.
Mean = ________ ppm
Median = ________ ppm
Mode = ________ ppm
Range = ________ ppm
6. Based on your answers to #5, write one sentence interpreting what the mean and median together suggest about these CO2 increases.
7. Match each statistic (left) with the correct definition (right). Draw lines between matching items.
A. Mean
B. Median
C. Mode
D. Range
1. The value that appears most often in a data set
2. The middle value when data are ordered
3. Difference between the largest and smallest values
4. Sum of values divided by the number of values
8. Quick-write (2–3 sentences): How can summary statistics from local air quality or biodiversity data influence one specific sustainable action or policy?
9. Exit ticket (one sentence): Why is analyzing environmental data important for a sustainable future?
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