Curated OER
Drive the Data Derby
Three days of race car design and driving through the classroom while guessing probability could be a third graders dream. Learn to record car speed, distances traveled, and statistics by using calculation ranges using the mean, median,...
EngageNY
Displaying a Data Distribution
Pupils analyze a display of data and review dot plots to make general observations about the highest, lowest, common, and the center of the data. To finish, learners match dot plots to scenarios.
EngageNY
Summarizing a Data Distribution by Describing Center, Variability, and Shape
Put those numbers to work by completing a statistical study! Pupils finish the last two steps in a statistical study by summarizing data with displays and numerical summaries. Individuals use the summaries to answer the statistical...
EngageNY
Variability in a Data Distribution
Scholars investigate the spread of associated data sets by comparing the data sets to determine which has a greater variability. Individuals then interpret the mean as the typical value based upon the variability.
Curated OER
Describing Data
Your learners will practice many ways of describing data using coordinate algebra in this unit written to address many Common Core State Standards. Simple examples of different ways to organize data are shared and then practice problems...
EngageNY
Describing the Center of a Distribution Using the Median
Find the point that splits the data. The lesson 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 number of data...
EngageNY
Describing Distributions Using the Mean and MAD
What city has the most consistent temperatures? Pupils use the mean and mean absolute deviation to describe various data sets including the average temperature in several cities. The 10th lesson in the 22-part series asks learners to...
EngageNY
Creating a Dot Plot
Which dot am I? Pupils create dot plots to represent sample data through the use of frequency tables. The third segment in a series of 22 asks individuals to analyze the dot plots they created. The scholars translate back and forth...
EngageNY
Describing Center, Variability, and Shape of a Data Distribution from a Graphical Representation
What is the typical length of a yellow perch? Pupils analyze a histogram of lengths for a sample of yellow perch from the Great Lakes. They determine which measures of center and variability are best to use based upon the shape of the...
EngageNY
Distributions and Their Shapes
What can we find out about the data from the way it is shaped? Looking at displays that are familiar from previous grades, the class forms meaningful conjectures based upon the context of the data. The introductory lesson to descriptive...
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 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...
EngageNY
Comparing Distributions
Data distributions can be compared in terms of center, variability, and shape. Two exploratory challenges present data in two different displays to compare. The displays of histograms and box plots require different comparisons based...
EngageNY
Describing Distributions Using the Mean and MAD II
The 11th lesson in the series of 22 is similar to the preceding lesson, but requires scholars to compare distributions using the mean and mean absolute deviation. Pupils use the information to make a determination on which data set is...
Curated OER
Button Bonanza
Collections of data represented in stem and leaf plots are organized by young statisticians as they embark some math engaging activities.
Curated OER
Lesson Plan Outline for Rainbow Science
Young scientists study light reflection and refraction as they determine the critical angle, the rainbow angle, and color separation in rainbows. Teams record the data they collect in a shared spreadsheet and discuss results with the class.
American Statistical Association
How Long is 30 Seconds?
Is time on your side? Pupils come up with an experiment to test whether their classmates can guess how long it takes for 30 seconds to elapse. They divide the class data into two groups, create box-and-whisker plots, and analyze the...
Curated OER
Using GLOBE Data to Study the Earth System (College Level)
Students use the GLOBE Website to locate and study environmental data. They use the GLOBE Graphing Tool to display data. Students describe the role of solar energy in the annual fluctuations of soil moisture. They describe reservoirs and...
EngageNY
More Practice with Box Plots
Don't just think outside of the box — read outside of it! The 15th lesson in a 22-part unit provides pupils more work with box plots. Learners read the box plots to estimate the five-number summary and interpret it within the context....
Curated OER
Level III: Technology Integration
Fourth graders prepare two spreadsheets each with an embedded line graph that displays data about the growth of the bitter rot fungus on apples and on petri dishes that were stored in the refrigerator and the classroom. They prepare a...
EngageNY
Relationships Between Two Numerical Variables
Is there another way to view whether the data is linear or not? Class members work alone and in pairs to create scatter plots in order to determine whether there is a linear pattern or not. The exit ticket provides a quick way to...
Intel
Plugging into the Sun
What's cooking? A sizzling STEM unit challenges scholars to build a solar cooker that can successfully cook an egg. The unit opens with a study of Earth's rotation, the sun's energy, and shadows. Pupils use a compass and thermometer to...
Curated OER
Weather
Students communicate how weather affects people, classify objects according to how they are used, and observe and record weather data using symbols.
Curated OER
Water Quality in the Greenhills Stream
Seventh graders conduct year long study of water quality over different seasons using variety of probes, including D.O., pH, conductivity and temperature, that are attached to portable technology. Students select three data points in...