Organize plant-growth measurements into a data table and line graph, and draw a conclusion about the effect of light supported by that data.
Raw measurements scattered across several days of notes are hard to make sense of; organizing them into a table, then a graph, reveals the pattern at a glance. A data table for this experiment should have one column for the date or day number and one column for each seedling's height, recorded in the same units, centimeters is standard, every time.
A line graph turns that table into a picture: day number goes along the bottom, the x-axis, height goes up the side, the y-axis, and a separate line, ideally in a different color, tracks each seedling over time. A conclusion, in science, is a claim about what the data shows, backed directly by specific numbers from your own table or graph, not just a general impression.
Mastery looks like: They can build an accurate data table and line graph from growth measurements and write a conclusion that cites specific data.
Common stumbles: Mixing up which axis holds time versus the measured variable; writing a vague conclusion with no numbers to support it.