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.
In this interactive 8th-grade statistics worksheet, students help Leo, a local ice cream truck salesman, analyze how temperature impacts his daily sales. Using sliders to plot 20 real-world data points, students construct a scatter plot and explore how visualizing data reveals relationships between two quantitative variables.
Through guided multiple-choice questions and interpretation tasks, learners identify positive correlation, detect outliers, and understand the role of a trend line in prediction and analysis. The relatable storyline turns abstract math into a meaningful investigation that connects data literacy to everyday decision-making.
This activity aligns with Common Core 8.SP standards, encourages critical thinking, and prepares students for advanced topics in data analysis and scientific modeling. Ideal for classroom instruction, individual practice, or digital assignments, this worksheet transforms plotting practice into a real-world learning experience.
Students will learn how to create and interpret scatter plots by plotting real-world data to identify relationships between two quantitative variables. Through Leo’s Ice Cream Truck scenario, students will recognize positive and negative correlations, outliers, and the concept of a line of best fit, understanding how data visualization helps reveal patterns and supports decision-making in everyday life.
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
All 8.SP.A.1 activities →Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
All 8.SP.A.2 activities →
More interactive, auto-graded activities on the same standards and topics.
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.
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 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.
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 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.
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.
