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.
Alabama Learning Exchange
Ice Cream Sundae Survey
Young scholars analyze data through graphs. They will complete a class survey on ice cream sundaes and tally and graph the responses. They then analyze the information from the class graph.
Curated OER
Histograms
Young statisticians explore the concept of histograms. They construct histograms of various data such as change in a student's pocket, and guessing on a test. hHey analyze data represented as a histogram and a box plot and compare...
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.
Curated OER
Twelve Days of Christmas--Prediction, Estimation, Addition, Table and Chart
Scholars explore graphing. They will listen to and sing "The Twelve Days of Christmas" and estimate how many gifts were mentioned in the song. Then complete a data chart representing each gift given in the song. They also construct...
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...
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...
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...
Curated OER
Properties of a Good Graph
In this chemistry worksheet, students examine the common characteristics of an acceptable graph that is meant to be used to display data.
Curated OER
Data Display
Students explore different ways to display data. In this statistics lesson, students create pie charts, bar graphs and line graphs to show data. Students then write a paragraph discussing which types of graphs are helpful for different...
Beacon Learning Center
Line Plots
Introduce line plots, show examples of tables, graphing on a number line, and engage in a class discussion. Share the process by which statistical data is organized and displayed on a number line. Examples and worksheets are included....
Curated OER
Dot Plots
Number crunching statisticians explore displaying data with dot plots and define the difference between quantitative data and qualitative data. Dot plots are created based on a set of given data and analyzed.
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...
Curated OER
Statistics Canada
Students practice using graphing tools to make tables, bar charts, scatter graphs, and histograms, using census data. They apply the concept of measures of central tendency, examine the effects of outliers. They also write inferences and...
Curated OER
A Picture is Worth a Thousand Words
Pupils create various types of graphs. They go to suggested websites to collect data and create graphs to organize the data. Then they answer questions according to their graph.
Curated OER
Dealing With Data
Students collect, organize, and display data using a bar graph, line graph, pie graph, or picture graph. They write a summary describing the data represented and compare the graph to another graph in the class.
Curated OER
Weather, Data, Graphs and Maps
Students collect data on the weather, graph and analyze it. In this algebra lesson plan, students interpret maps and are able to better plan their days based on the weather reading. They make predictions based on the type of clouds they...
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...
Statistics Education Web
What Does the Normal Distribution Sound Like?
Groups collect data describing the number of times a bag of microwave popcorn pops at given intervals. Participants discover that the data fits a normal curve and answer questions based on the distribution of this data.
EngageNY
Modeling a Context from Data (part 1)
While creating models from data, pupils make decisions about precision. Exercises are provided that require linear, quadratic, or exponential models based upon the desired precision.
Curated OER
Vernier EasyData App
Used along with data collection devices, the EasyData Application for the TI-83 Plus/TI-84 calculator allows learners to use real data to learn math and science. Statistics, curve fits, and integrals are used to analyze the...
NASA
Using Models in Climate Change Research
Explore models through the relevant lens of climate change! Investigators watch a video about using models and their application for evaluating temperature data and climate change. Scientists read an article on climate change and answer...
Curated OER
Teaching about Data Interpretation
Students explore a variety of relevant lake water chemistry questions, compose responses, and present their results in a poster format. They, in pairs, answer questions about lake chemistry which are imbedded in this plan.
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...
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