Curated OER
Tools for Integrating Math and Engineering: Weighin' In
Learners collect and analyze data on a fictional cereal company's products. In this measurement lesson, students collect data from cereal boxes (weight, volume, surface area, etc.) to determine if the boxes labels correctly inform...
Curated OER
Data and Scientific Graphs
Students conduct experiments and graph their data. In this statistics lesson, students collect data and graph it on a coordinate plane. They analyze the data looking for patterns and they discuss their findings with the class.
Curated OER
Probability- Based Bingo Lesson Plan
Statisticians play a game of Bingo to discover the meaning of probability. They are given 12 markers to distribute across the numbers 1-12 on their playing mat. As a pair of dice is rolled, markers are removed from the playing mat. The...
Curated OER
Mystery Liquids: Linear Function
High schoolers determine the linear equations of the density of water and oil by collecting data on the mass of various volumes of each liquid. They construct scatter plots from the data and use these to write the linear equations for...
Curated OER
Murder in the First Degree - The Death of Mr. Spud
Secondary learners investigate exponential functions in a real-world scenario. They collect data on the temperature of a cooling baked potato, enter the data into lists, and graph the data using a scatter plot before finding an...
Curated OER
Quarter, Nickel, Dime....
An engaging game called, "Quarter, Nickel, and Dime" is presented in this math lesson. Players are given an envelope with slips of paper that represent the three coins. In pairs, they play the game 18 times, and the whole class charts...
Curated OER
Photosynthesis
Students recognize the importance of plants as they perform an experiment involving photosynthesis. Students determine the optimum wavelength of light for photosynthesis by exposing plants to different colors of light, collecting data,...
Curated OER
Visual Communication of Quantative Data
Students collect and analyze data based on academic performance. In this statistics lesson, students create graphs and analyze the data they created. They use positive, negative and no correlation to analyze the data.
Curated OER
How Many Letters Are In Your Name?
Students discover how to make a graph that represents the number of letters in their names. In this early childhood math lesson plan, students collect data, categorize data, and develop skills to analyze the pieces of data.
Alabama Learning Exchange
Ice Cream Sundae Survey
Young scholars analyze data through graphs. They will complete a class survey on ice cream sundaes and tally and graph the responses. They then analyze the information from the class graph.
Statistics Education Web
Consuming Cola
Caffeine affects your heart rate — or does it? Learners study experimental design while conducting their own experiment. They collect heart rate data after drinking a caffeinated beverage, create a box plot, and draw conclusions. They...
Alabama Learning Exchange
Yummy Apples!
Young learners listen to a read aloud of Gail Gibbons book, Apples and the story A Red House With No Windows and No Doors. They compare characteristics of a number of kinds of apples, graph them and create a apple print picture. Learners...
EngageNY
The Difference Between Theoretical Probabilities and Estimated Probabilities
Flip a coin to determine whether the probability of heads is one-half. Pupils use simulated data to find the experimental probability of flipping a coin. Participants compare the long run relative frequency with the known theoretical...
Curated OER
Indy 500
Start your engines! Small groups collect data from websites pertaining to the Indianapolis 500 in order to determine average speed per lap and miles in each lap. The lesson requires prior knowledge of the the formula d=rt.
American Statistical Association
Chocolicious
To understand how biased data is misleading, learners analyze survey data and graphical representations. They use that information to design their own plans to collect information on consumer thoughts about Chocolicious cereal.
Shodor Education Foundation
Algorithm Discovery with Venn Diagrams
Here is a lesson that takes an interesting approach to analyzing data using box and whisker plots. By using an applet that dynamically generates Venn diagrams, the class forms a strategy/algorithm for guessing the rule that fits the...
American Statistical Association
EllipSeeIt: Visualizing Strength and Direction of Correlation
Seeing is believing. Given several bivariate data sets, learners make scatter plots using the online SeeIt program to visualize the correlation. To get a more complete picture of the topic, they research their own data set and perform an...
Workforce Solutions
30 Seconds
Thirty seconds are all scholars have to develop an engaging commercial to showcase their talents and experience within a specific occupation. Pairs work collaboratively to keep each other on time to deliver information speedily and ask...
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...
American Statistical Association
How Random Is the iPod’s Shuffle?
Shuffle the resource into your instructional activity repertoire. Scholars use randomly-generated iPod Shuffle playlists to develop ideas about randomness. They use a new set of playlists to confirm their ideas, and then decide whether...
EngageNY
Interpreting Expected Value
Investigate expected value as a long-run average. The eighth installment of a 21-part module has scholars rolling pairs of dice to determine the average sum. They find aggregate data by working in groups and interpret expected value as...
American Statistical Association
Happy Birthday to . . . Two?
How many people do you need in a room before two likely share the same birthday? Scholars consider this puzzle by analyzing a set of data. They ponder how to divide the data and determine the proper size of a group for this event to...
Georgetown University
Cup-Activity: Writing Equations From Data
Determine how cup stacking relates to linear equations. Pupils stack cups and record the heights. Using the data collected, learners develop a linear equation that models the height. The scholars then interpret the slope and the...
Curated OER
What's Your Shoe Size? Linear Regression with MS Excel
Learners collect and analyze data. In this statistics lesson, pupils create a liner model of their data and analyze it using central tendencies. They find the linear regression using a spreadsheet.