NOAA
History's Thermometers
How is sea coral like a thermometer? Part three of a six-part series from NOAA describes how oceanographers can use coral growth to estimate water temperature over time. Life science pupils manipulate data to determine the age of corals...
Office of the New Jersey State Climatologist
Play Ball! – Or Not…Making a Decision Using Weather Data
Should the game go on or not? An engaging lesson asks small groups to make a decision using weather data. After analyzing a map, an updated forecast, and radar information, groups have to decide whether to cancel a baseball game. They...
US Department of Energy
Thermal Expansion of Water: Rise of Sea Level
Using bunsen burners, Erlenmeyer flasks, thermometers, hollow glass tubes, stoppers, and rulers, learners experiment with and measure how water expands when heated. The activity connects the expansion of water when heated to global...
Curated OER
Obstacles to Success: Misleading Data
Eleventh graders explore how data reported by country agencies can mislead the public intentionally or unintentionally. In this Cross Curricular activity, 11th graders analyze charts and graphs in order to draw conclusions. Students...
Curated OER
Ornithology and Real World Science
Double click that mouse because you just found an amazing lesson! This cross-curricular Ornithology lesson incorporates literature, writing, reading informational text, data collection, scientific inquiry, Internet research, art, and...
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...
Curated OER
Vernier EasyData App
Used along with data collection devices, the EasyData Application for the TI-83 Plus/TI-84 calculator allows learners to use real data to learn math and science. Statistics, curve fits, and integrals are used to analyze the collected...
Curated OER
Exploring Quadratic Data with Transformation Graphing
Using a data collection device to collect data regarding a bouncing ball, students use various features on graphing calculators to experiment with the parameters of the vertex form of the parabola and their effect on the shape of the...
EngageNY
Random Sampling
Sample pennies to gain an understanding of their ages. The 16th installment of a 25-part series requires groups to collect samples from a jar of pennies. Pupils compare the distribution of their samples with the distribution of the...
EngageNY
Estimating a Population Proportion
Find the percent of middle schoolers who want the ability to freeze time. The 21st installment in a series of 25 has groups collect a random sample of respondents who answer a question about superpowers. Using sample statistics,...
Curated OER
Data Collection and Presentation
Young scholars access how to collect, classify and display data involving statistics. The concepts of quantitative, discrete and continuous data is covered in depth within the instructional activity. They practice with a scenario of...
Curated OER
Move My Way: A CBR Analysis of Rates of Change
Learners match a given velocity graph and sketch the corresponding position graph using a graphing calculator. After collecting data from their everyday life, learners use specific functions on their calculators to create graphs and...
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
Using Excel to Reference and Graph Live Data from a Web Site
Students collect live buoy data about water temperatures in the Gulf of Mexico from the Internet and work individually to organize their data and create a line graph using Excel Spreadsheet. Students analyze their data and examine any...
Curated OER
Data Collection
Learners investigate qualitative and quantitative data. In this statistics lesson, students gather data on heights and weights of people and graph the distribution. Learners discuss the differences between qualitative and quantitative data.
Kenan Fellows
Climate Change Impacts
Turn up the heat! Young mathematicians develop models to represent different climates and collect temperature data. They analyze the data with regression and residual applications. Using that information, they make conclusions about...
EngageNY
Posing Statistical Questions
Is this a statistical question? The opening lesson in a series of 22 introduces the concept of statistical questions. Class members discuss different questions and determine whether they are statistical or not, then they sort the data...
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...
Workforce Solutions
Miniature Gulf Coast Project
Scholars show what they know about data collection and analysis with an activity that examines a smaller population of Houghton, Texas. Independently or in pairs, learners identify their research question, gather, graph, and analyze...
Statistics Education Web
Now You SeeIt, Now You Don't: Using SeeIt to Compare Stacked Dotplots to Boxplots
How does your data stack up? A hands-on activity asks pupils to collect a set of data by measuring their right-hand reach. Your classes then analyze their data using a free online software program and make conclusions as to the...
Statistics Education Web
Types of Average Sampling: "Household Words" to Dwell On
Show your classes how different means can represent the same data. Individuals collect household size data and calculate the mean. Pupils learn how handling of the data influences the value of the mean.
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.
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...
EngageNY
Describing Variability Using the Interquartile Range (IQR)
The 13th instructional activity in a unit of 22 introduces the concept of the interquartile range (IQR). Class members learn to determine the interquartile range, interpret within the context of the data, and finish by finding the IQR...