Curated OER
Move My Way: A CBR Analysis of Rates of Change
Learners match a given velocity graph and sketch the corresponding position graph using a graphing calculator. After collecting data from their everyday life, students use specific functions on their calculators to create graphs and...
Curated OER
Graphing the Forecast-Line Graph or Bar Graph?
Students explore bar and line graphs. In this data collection, graphing, and weather lesson, students compare bar and line graphs and discuss which type of graph would be most appropriate for displaying a ten day weather forecast....
Curated OER
Teaching about Data Interpretation
High schoolers 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.
Curated OER
Graphing Memories
Mem Fox’s Wilfrid Gordon McDonald Partridge provides the labels for a graphing activity. Class members create an illustration of a memory item brought from home, and place their illustration in the proper column of a graph. When the...
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...
Statistics Education Web
Walk the Line
How confident are you? Explore the meaning of a confidence interval using class collected data. Learners analyze data and follow the steps to determine a 95 percent confidence interval. They then interpret the meaning of the confidence...
EngageNY
Analyzing Residuals (Part 2)
Learn about patterns in residual plots with an informative math lesson. Two examples make connections between the appearance of a residual plot and whether a linear model is the best model apparent. The problem set and exit ticket...
Statistics Education Web
Types of Average Sampling: "Household Words" to Dwell On
Show your classes how different means can represent the same data. Individuals collect household size data and calculate the mean. Pupils learn how handling of the data influences the value of the mean.
Curated OER
The Dog Days of Data
Students are introduced to the organization of data This lesson is designed using stem and leaf plots. After gather data, they create a visual representation of their data through the use of a stem and leaf plot. Students
drawing...
Curated OER
The Dog Days of Data
Students practice an alternative form of data presentation. They practice sequencing data, identifying the stem-and-leaf, creating stem-and-leaf plots, and drawing inferences from the data by viewing the plots.
Curated OER
Data Analysis and Probability
Students make their own puzzle grid that illustrates the number of sit-ups students in a gym class did in one minute, then they make a histogram for this same data. Then they title their graph and label the scales and axes and graph the...
Curated OER
Charts, Maps, and Graphs Lesson on the Holocaust
High schoolers practice interpreting data. In this Holocaust lesson, students research selected Internet sources and examine charts, maps, and graphs regarding the Jewish populations in and out of Europe. High schoolers respond to...
Curated OER
What's Your Shoe Size? Linear Regression with MS Excel
Learners collect and analyze data. In this statistics activity, pupils create a liner model of their data and analyze it using central tendencies. They find the linear regression using a spreadsheet.
Curated OER
All in the Family
Students use data to make a tally chart and a line plot. They find the maximum, minimum, range, median, and mode of the data. Following the video portion of the lesson plan, students will visit a Web site to test their data collection...
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
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
China's Population Growth
Learners collect data from China's population growth and determine the mean, median, and mode from the data. In this data lesson plan, pupils determine probabilities and use them to make predictions.
Curated OER
Videobusters
A real-world scenario, Videobusters, a video rental store has just got to get organized. In small groups, the class works on organizing and analyzing data utilizing matrices. They need to use their skills in adding, subtracting and...
Curated OER
Fire Wars
Your class can practice collecting and analyzing data. They extrapolate information and derive data from fire season statistics. They also choose the most appropriate format to display collected data.
Curated OER
Organising Data
Learners complete data organization activities. In this data organization lesson, students watch online clips about organizing data. Learners complete an eye color frequency table for their class. Students watch a clip...
Curated OER
Collecting And Organizing Data
In this collecting and organizing data worksheet, students, with a partner, problem solve and calculate the answers to six mathematical word problems.
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...
Curated OER
Exploring Quadratic Data : Transformation Graphing
High schoolers analyze the vertex form of a parabola and find an approximate fit of a model. They explain the quadratic parabola function and its properties by developing quadratic models. They use translation and dilation to change the...
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.