Curated OER
Environmental Agents of Mathematics: Mathematics for Change
High schoolers analyze environmental science data using Math. They do research about renewable energy, gather data, create graphs and interpret their findings. Then the group presents their arguments persuasively using their findings to...
EngageNY
Summarizing Deviations from the Mean
Through a series of problems, learners determine the variability of a data set by looking at the deviations from the mean. Estimating means of larger data sets presented in histograms and providing a way to calculate an estimate round...
Beacon Learning Center
Line Plots
Introduce line plots, show examples of tables, graphing on a number line, and engage in a class discussion. Share the process by which statistical data is organized and displayed on a number line. Examples and worksheets are included....
Shodor Education Foundation
Data Flyer
Fit functions to data by using an interactive app. Individuals plot a scatter plot and then fit lines of best fit and regression curves to the data. The use of an app gives learners the opportunity to try out different functions to see...
Mathed Up!
Stem and Leaf Diagrams
Order the data within a stem-and-leaf display. Pupils take data and create and ordered stem-and-leaf diagrams, including the key. Participants take their data and determine answers about the information. Class members then find measures...
Curated OER
Representing Data 1: Using Frequency Graphs
Here is a instructional activity that focuses on the use of frequency graphs to identify a range of measures and makes sense of data in a real-world context as well as constructing frequency graphs given information about the mean,...
Mathed Up!
Pie Charts
Representing data is as easy as pie. Class members construct pie charts given a frequency table. Individuals then determine the size of the angles needed for each sector and interpret the size of sectors within the context of frequency....
Curated OER
Using a Table
Tables are no help if your scholars can't read them; provide some excellent beginner-practice using this table example and accompanying comprehension questions. Learners examine the data first, which charts the number of glasses of water...
Curated OER
Explore Surface Types on a Journey Around Earth
Young scholars explore satellite data. In this technology cross-curriculum math and world geography lesson, students locate specific map areas using a microset of satellite data. Young scholars use technology and math skills to determine...
EngageNY
Interpreting Residuals from a Line
What does an animal's gestation period have to do with its longevity? Use residuals to determine the prediction errors based upon a least-square regression line. This second lesson on residuals shows how to use residuals to create a...
Curated OER
8.SP.1Texting and Grades I
Here is a fitting question for middle schoolers to consider: Is there a relationship between grade point average and frequency of sending texts? Starting statisticians examine a scatter plot and discuss any patterns seen.
Virginia Department of Education
Linear Curve of Best Fit
Is foot length to forearm length a linear association? The class collects data of fellow scholars' foot length and the length of their forearms. They plot the data and find a line of best fit. Using that line, they make predictions of...
Charleston School District
Analyzing Scatter Plots
Scatter plots tell a story about the data — you just need to be able to read it! Building from the previous lesson in the series where learners created scatter plots, they now learn how to find associations in those scatter plots. They...
Statistics Education Web
How High Can You Jump?
How high can your pupils jump? Learners design an experiment to answer this question. After collecting the data, they create box plots and scatter plots to analyze the data. To finish the instructional activity, they use the data to...
American Statistical Association
Scatter It! (Predict Billy’s Height)
How do doctors predict a child's future height? Scholars use one case study to determine the height of a child two years into the future. They graph the given data, determine the line of best fit, and use that to estimate the height in...
EngageNY
Estimating Centers and Interpreting the Mean as a Balance Point
How do you balance a set of data? Using a ruler and some coins, learners determine whether the balance point is always in the middle. Through class and small group discussions, they find that the mean is the the best estimate of the...
EngageNY
Understanding Box Plots
Scholars apply the concepts of box plots and dot plots to summarize and describe data distributions. They use the data displays to compare sets of data and determine numerical summaries.
EngageNY
Creating a Histogram
Display data over a larger interval. The fourth segment in a 22-part unit introduces histograms and plotting data within intervals to the class. Pupils create frequency tables with predefined intervals to build histograms. They describe...
Shodor Education Foundation
Plop It!
Build upon and stack up data to get the complete picture. Using the applet, pupils build bar graphs. As the bar graph builds, the interactive graphically displays the mean, median, and mode. Learners finish by exploring the changes in...
Curated OER
From Playing with Electronics to Data Analysis
Pupils collect and Analyze data. In this statistics lesson, students identify the line of best fit of the graph. They classify lines as having positive, negative and no correlation.
Curated OER
Making Predictions from Data with a Graphing Calculator
In this making predictions from data activity, students solve 15 short answer problems. Students determine average miles per gallon given data on miles traveled and gas used. Students make predictions using the data and a line of best fit.
Curated OER
Comparing Data
Eighth graders create a survey, gather data and describe the data using measures of central tendency (mean, median and mode) and spread (range, quartiles, and interquartile range). Students use these measures to interpret, compare and...
Curated OER
Mean, Median and Mode
Young statisians work with sets of data. They find mean, median and mode, and discuss the effects of outliers on the data set.
Curated OER
Mean, median, and mode... Use the data
Ninth graders participate in a lesson focused on the concept of basic statistics. They find the mean, median, and mode of different data sets. More advanced students could practice creating a bell curve from the data.