Middle school math topic
24 interactive statistics activities, each one auto-graded and randomized per student. Mini Labs drop the math into a real scenario students care about; Skill Practice worksheets build fluency on one standard at a time; multi-day Labs connect a whole unit into a single project.
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!
Build fluency with box plots through 3 real-world practice problems. Students sort data, find the five-number summary (Min, Q1, Median, Q3, Max), calculate IQR, and watch the box plot draw itself as they fill in each value. Each problem features a different distribution shape, with instant feedback when answers are correct.
Students will analyze dot plots representing real-world data, such as the ages of students participating in a school carnival. They will answer questions based on these plots. Each student will receive three unique sets of data and questions, encouraging individual analysis and critical thinking.
Students will analyze four types of graphs: a scatter plot, a histogram, a bar chart, and a line chart. Their task is to interpret the data presented in each graph and answer specific questions related to the information.
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 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.
Practice compound probability by building outcome combinations using drag-and-drop. Students explore real-life scenarios and calculate probabilities from organized tables.
Students explore probability through a carnival spinner game. They calculate theoretical probabilities, run a 20-spin simulation, and compare theoretical and experimental probabilities. This worksheet supports randomization — each student gets unique outcomes on every spin.
Students explore how theoretical probability applies to real-world weather forecasting by simulating 20 days of rain predictions. They compare their experimental results to the predicted 30% chance of rain and reflect on what probability really means.
Practice calculating the Mean Absolute Deviation (MAD) of a data set step-by-step—starting from the mean, to absolute deviations, and finally to the MAD value.
Students will analyze five different data sets, each representing a real-life scenario such as weekly attendance or pages read by students. Their task is to calculate the mean, median, mode, range, and interquartile range for each data set, helping them develop essential skills in statistical analysis.
Explore probability through a fun ball-drawing simulation! Students calculate theoretical probabilities, simulate 20 draws from a colored ball jar, record outcomes, and compare results to expected values. A hands-on activity that builds intuition around chance, fairness, and real-world variability.
Students compare the sleep patterns of 7th and 8th graders using real-world data. They calculate mean, median, range, and IQR, then interpret histograms and make informal inferences about group differences. This worksheet supports randomization, so each student may receive different sleep data.
Students analyze test score data from two schools — one using tablets, the other using textbooks — to calculate mean, median, range, and IQR. They compare the distributions using numerical measures and histograms to draw conclusions about student performance.
Students build each tree diagram themselves, then use it to find the probability of compound events. Three real-world scenarios covering sample space, organized lists, and counting outcomes. Self-checking with instant feedback, so students catch a missing or repeated outcome as they go. Aligned to 7.SP.C.8a. About 20 minutes, no prep.
Students build a linear model from a price–demand scatterplot, then use it to predict demand, revenue, and profit at different price points. They analyze curves and determine the price that maximizes profit. A perfect real-world 8th-grade activity for scatterplots, linear modeling, and financial reasoning.
Help students explore real-world data using two-way frequency tables. In this interactive worksheet, students calculate relative frequencies, analyze categorical data, and identify possible associations across engaging scenarios like activities, snacks, screen time, and study habits. Aligned to Grade 8 Statistics standards.
Students analyze real-world two-way frequency tables to explore possible associations between categorical variables. They calculate and compare relative frequencies, interpret patterns, and justify conclusions using data. Aligned to CCSS 8.SP.A.4, this worksheet builds core statistical reasoning skills and works well for practice, assessment, or independent learning.
Students help Leo, an ice cream truck owner, analyze sales data by creating and using a linear model. Using sliders to adjust slope and intercept, they minimize model error, find the best-fit line, and predict sales for new temperatures—discovering how data models are built and used in the real world.
Students analyze real-world scatterplots and linear models to interpret bivariate data. They write equations using given slopes and y-intercepts, explain what these values mean in context, make predictions, and evaluate model limitations. Aligned to CCSS 8.SP.A.3 and ideal for statistics practice or assessment.
Help Leo, an ice cream truck owner, uncover how weather affects his sales! Students plot real data points to create a scatter plot, identify trends, and spot outliers. This engaging, hands-on activity builds understanding of correlation, trend lines, and data interpretation using a fun, real-world scenario.
Students help Leo, an ice cream truck owner, build a linear model to predict sales! Using interactive sliders to adjust slope and intercept, they create the best-fit line, minimize model error, and discover how straight lines can model real-world data relationships.
Help students understand real-world data with this 8th-grade scatter plot activity. Learners compare a data table to three scatter plots, identify associations, clusters, and outliers, and discover why scatter plots make patterns easier to see. A perfect introduction to bivariate data and the 8.SP standards.
Snack Stand Showdown is a Grade 8 statistics lab where students run a Field Day snack stand and use real data to decide what to charge and how much to buy. They build scatter plots, fit lines of best fit, price from profit curves, place a budgeted vendor order, and read two-way tables. A connected, auto-graded arc covering the full 8.SP standard cluster.
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