During makerspace, Marcus and Yuki had a problem: water spilled when pouring into a bottle. They made two funnel designs. Design A had a wide opening. Design B had a narrow opening. When they tested the designs, they did the same test for both: they poured 1 cup of water through the funnel into the same bottle. They collected data by measuring how much water spilled in tablespoons. Results: Design A spilled 2 tablespoons, Design B spilled 5 tablespoons. They recorded the numbers in a table. Which data was collected from the tests?
- They measured how many tablespoons of water spilled for each funnel. (correct answer)
- They counted how many funnels were blue.
- They poured 1 cup in A and 2 cups in B.
- They said Design A was best without measuring anything.
Explanation: This question tests the 1st grade skill of collecting data from tests of two objects designed to solve the same problem (K-2-ETS1-3: Analyze data from tests of two objects). When we have two different designs that try to solve the same problem, we test them both to collect data (information) about how well each one works. Fair testing means doing the same test to both designs under the same conditions (same number of items, same amount of force, same distance, same measurement method). Data is the information we collect from testing - it can be numbers we count (how many books fell?), measurements (how high can we reach?), observations we make (did it tip over - yes or no?), or comparisons (which held more?). We record this data so we can look at it and compare the two designs. Testing and collecting data gives us evidence about how each design performs, which helps us decide which design works better for solving the problem. In this scenario, the problem was water spilling when pouring into a bottle. Two designs were created: Design A had a wide opening and Design B had a narrow opening. They tested both designs by pouring 1 cup of water through the funnel into the same bottle. They collected data showing Design A spilled 2 tablespoons, Design B spilled 5 tablespoons. Choice A is correct because it accurately identifies data collected: states specific measurements from both designs; describes fair testing: explains same procedure used for both. For example, they measured how many tablespoons of water spilled for each funnel, giving specific data (2 vs 5); they tested both by pouring the same amount of water, making it fair. Choice B represents irrelevant measurement. This error typically occurs when students focus on materials or appearance instead of performance data, think any measurement counts even if not related to problem. To help students understand testing and data collection: Actually test two designs side by side with students watching; explicitly state 'this is the data we're collecting' (how many, how much, yes/no, measurements); use simple data tables showing Design A results and Design B results; emphasize fair testing (same test for both - if we put 3 books on A, we put 3 books on B too); record data as you collect it (write numbers, make tallies, check yes/no); distinguish between building designs and testing designs (two separate steps). Watch for: students who think testing means just trying it once without recording anything, who don't see why same test matters, who confuse materials with data, who describe process but not results, who want to jump to 'which is better' before collecting data, or who think watching is the same as recording data. Key concepts: (1) test both designs same way (fair), (2) collect specific data (numbers, measurements, observations), (3) record data so you can compare, (4) data = evidence about how designs perform.