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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 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
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
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...
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
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 plan in the 22-part series asks learners...
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
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
Modeling a Context from a Verbal Description (part 1)
When complicated algebraic expressions are involved, it is sometimes easier to use a table or graph to model a context. The exercises in this lesson plan are designed for business applications and require complex algebraic...
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....
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...
Curated OER
Using Random Sampling to Draw Inferences
Emerging statisticians develop the ability to make inferences from sample data while also working on proportional relationships in general. Here, young learners examine samples for bias, and then use random samples to make...
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...
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.
Radford University
Danger! – An Analysis of the Death Toll of Natural Disasters
Decipher the danger of natural disasters. Using researched data, scholars work in groups to create data displays on the number of deaths from different types of natural disasters. They share their graphical representations with the class...
Flipped Math
Unit 5 Review: Bivariate Data
The data says it's a wrap. Pupils work through four review questions with multiple parts dealing with bivariate data. Questions cover creating and interpreting two-way tables and scatter plots with lines of best fit. Scholars finish up...
EngageNY
Modeling a Context from Data (part 2)
Forgive me, I regress. Building upon previous modeling activities, the class examines models using the regression function on a graphing calculator. They use the modeling process to interpret the context and to make predictions...
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...
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...
Beyond Benign
Can You Hear Me Now? Cell Phone Accounts
How sustainable are cell phones? Throughout the unit, learners explore the issues around cell phones concerning sustainability. Class members take a graphical look at the number of cell phones across the world using a box-and-whisker...
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 plan...
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
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...