Curated OER
Whale Migration - The Long Journey
Marine biology learners examine right whale sighting data from the WhaleNet website. They plot the data on a map and write down the number of adults and calves spotted. Questions accompany the data analysis activity, making this a...
Curated OER
Iron Fertilization - Pumping Iron
The theory that adding iron to ocean water may increase phytoplankton ability to remove carbon dioxide from the atmosphere is examined. The Monterey Bay Aquarium Research Institute is monitoring conditions off the California coast to...
Curated OER
Data Collection
Students investigate qualitative and quantitative data. In this statistics lesson, students gather data on heights and weights of people and graph the distribution. Students 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...
McGraw Hill
Lesson 12: Absolute Mean Deviation
Learn a different way to determine variability. An informative instructional activity provides directions on how to calculate the mean absolute deviation of a data set. Pupils use examples to learn the process and then practice finding...
Code.org
Check Your Assumptions
Always check your assumptions when interpreting data and data visualizations. That's the take away from this exercise. Class members examine a failed project that looks at search trends to predict flu outbreaks and consider 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
Describing Variability Using the Interquartile Range (IQR)
The 13th 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 using an...
EngageNY
Summarizing a Distribution Using a Box Plot
Place the data in a box. Pupils experiment with placing dividers within a data set and discover a need for a systematic method to group the data. The 14th activity in a series of 22 outlines the procedure for making a box plot based...
Code.org
Creating Summary Tables
Let the computer summarize all that data. Pairs work together to learn how to create pivot tables by following directions in the online module. They then utilize the data collected from the beginning of the unit to create their own...
EngageNY
Describing the Center of a Distribution Using the Median
Find the point that splits the data. The instructional activity presents to scholars the definition of the median through a teacher-led discussion. The pupils use data lists and dot plots to determine the median in sets with even and odd...
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 lesson, they use the data to draw conclusions.
Space Awareness
A View From Above
Analyzing and interpreting satellite data takes knowledge and patience. Through a detailed lab investigation, young scholars learn the process of analyzing this data. They use technology to create color images and maps from real...
Virginia Department of Education
Calculating Measures of Dispersion
Double the fun — calculate two measures of deviation. The lesson plan provides information to lead the class through the process of calculating the mean absolute deviation and the standard deviation of a data set. After learning how to...
Virginia Department of Education
Line of Best Fit
Pupils work through a guided activity on fitting a linear equation to a set of data by entering the data into a calculator and trying to envision a line of best fit. They then have the calculator determine the least-squares line and...
Virginia Department of Education
May I Have Fries with That?
Not all pie graphs are about pies. The class conducts a survey on favorite fast food categories in a lesson on data representation. Pupils use the results to create a circle graph.
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...
Willow Tree
Bar Graphs
Circles, lines, dots, boxes: graphs come in all shapes in sizes. Scholars learn how to make a bar graph using univariate data. They also analyze data using those bar graphs.
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...
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...
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...
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...
Towson University
Looking Backwards, Looking Forward
How do scientists know what Earth's climate was like millions of years ago? Young environmental scholars discover how researchers used proxy data to determine the conditions present before written record. Grouped pupils gain experience...
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...
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