Curated OER
How Tall is the Average 6th Grader?
Upper grade and middle schoolers explore mathematics by participating in a measuring activity. They hypothesize on what the average height of a male or female 6th grader is and identify ways to find the average mathematically. Learners...
Curated OER
Pumpkin Seed Data!
Second graders work with pumpkins to estimate, then accumulate data about pumpkin seeds. After cleaning out the pumpkins, 2nd graders utilize a worksheet imbedded in this plan which has a variety of pumpkin math activities they can do.
Curated OER
Organising Data
Students complete data organization activities. In this data organization lesson, students watch online clips about organizing data. Students complete an eye color frequency table for their class. Students watch a clip about asking...
Curated OER
Shaquille O'Neal Hand & Foot Span
If Shaquille O'Neal wears a size-20 shoe, how big are his hands? Learners will use the average ratios of foot length to hand span to calculate the hand span of Shaq, but first, they have to collect the data! They will measure their peers...
Curated OER
Data Analysis, Probability, and Discrete Mathematics: Lesson 4
Eighth graders investigate the concepts of probability while performing data analysis. They apply statistical methods in order to measure or predict some possible outcomes. The information is collected and graphed, 8th graders analyze...
Curated OER
Excel Turns Data Into Information
Learners use excel to analyze data. In this technology lesson, students enter data into the excel program to find averages and organize data.
Curated OER
Why Data
High schoolers investigate and discuss why data is important. In this statistics lesson plan, students collect, graph and analyze data. They apply the concept of data and lines to finding the rate of change of the line created by the data.
Cornell University
Energy Changes in Chemical Reactions
The heat of solution measures how much thermal energy a dissolving substance consumes or gives off. The experiment demonstrates both endothermic and exothermic reactions. Scholars dissolve several substances, measure the temperature...
Museum of Tolerance
Why is This True?
Are wages based on race? On gender? Class members research wages for workers according to race and gender, create graphs and charts of their data, and compute differences by percentages. They then share their findings with adults and...
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 based...
Curated OER
Are You Full of Hot Air?
Explore the concept of measuring and recording circumference. In this physical science and measurement lesson, young learners blow up balloons, measure the circumference, and record the data on an interactive graphing website.
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
Nonlinear Models in a Data Context
How well does your garden grow? Model the growth of dahlias with nonlinear functions. In the activity, scholars build on their understanding of mathematical models with nonlinear models. They look at dahlias growing in compost and...
Curated OER
Creating a Thematic Map
Students create and analyze a weather-related data table and a thematic map based upon information provided.
Curated OER
Range, Mode, and Median
Fifth and sixth graders sort data from least to greatest and mark an X on the line plot to show how many of each number. Then they determine the range, mode, and median for the problem.
Curated OER
Now That's Using Your Head!
Explore linear measurement. Scholars will measure the circumference of their head and the distance they can jump. Information is recorded, averages are calculated, and a data table is completed. They then determine possible relationships...
EngageNY
Graphs of Exponential Functions
What does an exponential pattern look like in real life? After viewing a video of the population growth of bacteria, learners use the real-life scenario to collect data and graph the result. Their conclusion should be a new type of graph...
EngageNY
Piecewise and Step Functions in Context
Looking for an application for step functions? This activity uses real data to examine piecewise step functions. Groups create a list of data from varying scenarios and create a model to use to make recommendations to increase revenue.
Curated OER
Energy Analysis
Students analyze information in graphs about U.S. energy consumption. For this energy consumption lesson, students create graphs and answer questions about U.S. energy consumption data. They determine trends in their graphs and research...
Curated OER
What is the Average Height of Your Class?
In this statistics lesson plan, learners use an on-line form generator create a class-specific form, then complete the form, view a graph and data analysis, and draw conclusions.
Curated OER
Raisin the Statistical Roof
Use a box of raisins to help introduce the concept of data analysis. Learners collect, analyze and display their data using a variety of methods. The included worksheet takes them through a step-by-step analysis process and graphing.
Curated OER
What's Playing Tonight?
Students collect data and visually represent it. They conduct a survey of favorite movies. Using a spreadsheet, students organize the data and create bar and circle graphs. Students answer statistical questions regarding the data.
Curated OER
Box Plots
Young statisticians are introduced to box plots and quartiles. They use an activity and discussion with supplemental exercises to help them explore how data can be graphically represented.
Curated OER
Scatter Plot Basketball
Learners take turns shooting baskets and creating scatterplots based on the data. They create two graphs and look for possible correlation in the data for each graph.