Bonneville
Making Observations and Recording Data for Solar Powered Water Pumping
Get pumped about an activity with water pumps. The fifth of seven installments in the Understanding Science and Engineering unit has pupils learn how to make observations, record data, and create data displays. Each group measures the...
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...
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
Summarizing Bivariate Categorical Data with Relative Frequencies
It is hard to determine whether there is a relationship with the categorical data, because the numbers are so different. Working with a familiar two-way table on super powers, the class determines relative frequencies for each cell and...
EngageNY
Summarizing Bivariate Categorical Data
How do you summarize data that cannot be averaged? Using an exploratory method, learners complete a two-way frequency table on super powers. The subject matter builds upon 8th grade knowledge of two-way tables.
NASA
Data Literacy Cube: Global Atmospheric Temperature Anomaly Data
Evaluate global temperature anomalies using real-world data from NASA! Climatologists analyze a data set using a literacy cube and differentiated question sheets. Team members evaluate global temperature anomaly data with basic...
EngageNY
Analyzing a Data Set
Through discussions and journaling, classmates determine methods to associate types of functions with data presented in a table. Small groups then work with examples and exercises to refine their methods and find functions that work to...
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.
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
From Ratio Tables, Equations and Double Number Line Diagrams to Plots on the Coordinate Plane
Represent ratios using a variety of methods. Classmates combine the representations of ratios previously learned with the coordinate plane. Using ratio tables, equations, double number lines, and ordered pairs to represent...
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...
EduGAINs
Data Management
Using a carousel activity, class members gain an understanding of the idea of inferences by using pictures then connecting them to mathematics. Groups discuss their individual problems prior to sharing them with the entire class. The...
EngageNY
Sampling Variability
Work it out — find the average time clients spend at a gym. Pupils use a table of random digits to collect a sample of times fitness buffs are working out. The scholars use their random sample to calculate an estimate of the mean of the...
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...
American Statistical Association
Don't Spill the Beans!
Become a bean counter. Pupils use a fun activity to design and execute an experiment to determine whether they can grab more beans with their dominant hand or non-dominant hand. They use the class data to create scatter plots and then...
Curated OER
Interpreting Data and Building Hypothesis
Students define the term species, and graph species data together with previously collected data at the National Zoo. They interpret graphed data and recognize patterns in the streamside quadrant versus hillside quadrant. Students use...
Chicago Botanic Garden
Historical Climate Cycles
What better way to make predictions about future weather and climate patterns than with actual climate data from the past? Young climatologists analyze data from 400,000 to 10,000 years ago to determine if climate has changed over time....
Curated OER
Exploring Wyoming Species Habitats
Middle schoolers are introduced to the concept of species habitats and ranges. They introduced to ArcView GIS as a tool for mapping. Pupils use query data for species withina county, elevation, range, rivers and streams, land cover, and...
EngageNY
Connecting Graphical Representations and Numerical Summaries
Which graph belongs to which summary statistics? Class members build upon their knowledge of data displays and numerical summaries to connect the two. Pupils make connections between different graphical displays of the same data in the...
EngageNY
Estimating Probabilities by Collecting Data
Take a spin to determine experimental probability. Small groups spin a spinner and keep track of the sums of the spins and calculate the resulting probabilities. Pupils use simulated frequencies to practice finding other probabilities to...
NOAA
Importance of Deep-Sea Ecosystems – How Diverse is That?
When judging diversity of an ecosystem, both species evenness and species richness must contribute. After a discussion of diversity and a guided example using the Shannon-Weaver function, scholars use the same function on two other...
Curated OER
Skate Party
Learners use the Frayer model during problem solving. In this problem solving lesson, they examine multiple methods of data collection to solve real world problems. Resources are provided.
ARKive
Handling Data: African Animal Maths
Handling and processing data is a big part of what real scientists do. Provide a way for your learners to explore graphs and data related to the animals that live on the African savannah. They begin their analysis by discussing what they...