Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions. *For example, estimate the mean word length in a book by randomly sampling words from the book; predict the winner of a school election based on randomly sampled survey data. Gauge how far off the estimate or prediction might be*.
3 interactive, auto-graded activities for 7th grade students practising 7.SP.A.2. Mini Labs put the standard to work in a real scenario; Skill Practice builds fluency on the standard alone. Every one is randomized per student, so each learner gets their own numbers.
In this worksheet, students analyze six real-world scenarios involving random samples to make inferences about larger populations. They will calculate proportions, means, and ranges, and reflect on the reliability of their conclusions based on sample size and variability.
Students collect and summarize data from a live classroom survey on topics like pets, siblings, and school routines. As they enter values, interactive charts update in real time. Students then analyze the graphs and answer summary questions. A fun way to learn data collection and interpretation!
Students analyze a random sample of lunch preferences to estimate the most popular food choices in their school. They compare results from multiple surveys—including a biased one—to understand the importance of sample size and randomness in drawing reliable conclusions.