Data Literacy Project Mini-lesson 1: Think statistically and Ask statistical questions 2.

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Presentation transcript:

Data Literacy Project Mini-lesson 1: Think statistically and Ask statistical questions 2

1. How long is this fish? cm Answer: FISH

2. How long are the fish in this river? Answer:

3. What was the maximum wind speed for hurricane Katrina? Answer: Year Seasonal order Name Duration days Max wind speed (knots) Min sea level pressure (mb) Deaths Katrina HURRICANES

Answer: 4. How would you describe the wind speed for the hurricanes in the 2005 hurricane season?

Background: The U.S. EPA rates every vehicle sold in the US for its gas mileage in city driving, on the open highway, and a combined city-highway rating. Ratings are in miles per gallon (mpg). Answer: 5.What is the EPA combined mileage rating for the 2011 Bugatti Veyron? MakeModelYearHighway (mpg) City (mpg)Combined (mpg) BugattiVeyron GAS MILEAGE

6. Based on the following sample, how variable is the EPA highway mileage rating for sport cars? MakeModelYearCity (mpg) Highway (mpg) Combined (mpg) BugattiVeyron AudiTT Roadster quattro HondaCR-Z Mini-CooperWorks Mazda JaguarXJ

For each of the three situations (fish, hurricanes, and car mileages), how are the first and second questions different? Which of the two questions provides the most insight into fish, hurricanes, and car mileages in general? (Why?)

Scientists and engineers make observations and collect data with a question in mind. They collect data from more than one example – from as many examples as is feasible. When measuring many examples, scientists and engineers expect that the data they collect will vary. When answering their question, they have to come to understand why the data vary. Three important ideas: