Curated OER
Comparison of Univariate and Bivariate Data
Learners explore the concept of univariate and bivariate data. In this univaritate and bivariate data lesson, pupils discuss the differences between univariate and bivariate data. They work sample problems where they must construct box...
Curated OER
Using Matrices to Enter Data and Perform Operations
Here's a TI step by step guided lesson on matrices. The class enters data into the TI calculator about movie ticket sales and uses matrices as a problem solving tool. They add and multiply matrices to determine profit.
EngageNY
Using Sample Data to Estimate a Population Characteristic
How many of the pupils at your school think selling soda would be a good idea? Show learners how to develop a study to answer questions like these! The lesson explores the meaning of a population versus a sample and how to interpret the...
Curated OER
Graphs and Data
Pupils investigate poverty using graphs. In this algebra lesson, students collect data on the effects of poverty and use different rules to analyze the data. They graph and use the trapezoid rule to interpret the data.
EngageNY
Using a Curve to Model a Data Distribution
Show scholars the importance of recognizing a normal curve within a set of data. Learners analyze normal curves and calculate mean and standard deviation.
Kenan Fellows
Designing and Analyzing Data Collected from Wearable Devices to Solve Problems in Health Care
Wearable devices have become more the norm than the exception. Learners analyze data from a sample device with a regression analysis in a helpful hands-on lesson. Their focus is to determine if there is a connection between temperature...
Curated OER
Application of Matrix Multiplication
The class explores a real-world application in which the data represents rental prices of beach condos. They problem solve by multiplying matrices to determine the cost of each property in each season. Several scenarios are presented in...
Willow Tree
Extremes, Range, and Quartiles
The middle of the data is important, but what about the rest of it? The lesson shows learners the importance of the range, quartiles, and extreme values. Pupils practice finding each of these values from given data sets.
American Statistical Association
An A-MAZE-ING Comparison
Teach your class how to use descriptive statistics through a hands-on data collection activity. Pupils collect their own data, calculate test statistics, and interpret the results in context. They compare male and female results, looking...
Willow Tree
Line Plots
You can't see patterns in a jumble of numbers ... so organize them! Learners take a set of data and use a line plot to organize the numbers. From the line plot, they find minimum, maximum, mean, and make other conclusions about the data.
Willow Tree
Scatterplots and Stem-and-Leaf Plots
Is there a correlation between the number of cats you own and your age? Use a scatter plot to analyze these correlation questions. Learners plot data and look for positive, negative, or no correlation, then create stem-and-leaf plots to...
EngageNY
Evaluating Reports Based on Data from a Sample
Statistics can be manipulated to say what you want them to say. Teach your classes to be wise consumers and sort through the bias in those reports. Young statisticians study different statistical reports and analyze them for misleading...
Kenan Fellows
Saving Those Who Save Us: Exploring the Use of Sensors with Data Visualization
Sensor technology is amazingly accurate and useful. Combining the sensor technology and mathematical knowledge, scholars design experiments to answer a question they have developed. Questions may focus on light sensing, temperature...
Curated OER
Sampling Bias And the California Recall
Using a 2002 California Gray David recall vote as an example, young statisticians identify sources of bias in samples and find ways of reducing and eliminating sampling bias. They consider ways to select random samples from a...
Curated OER
Weather, Data, Graphs and Maps
Students collect data on the weather, graph and analyze it. In this algebra lesson, 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 see.
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 collected...
Curated OER
Representing Data 1: Using Frequency Graphs
Here is a instructional activity that focuses on the use of frequency graphs to identify a range of measures and makes sense of data in a real-world context as well as constructing frequency graphs given information about the mean,...
Curated OER
NUMB3RS - Season 2 - "Convergence" - Air Hockey
Learn how to use a matrix to organize data to solve a problem. This activity uses wins and losses to rank players for an air hockey tournament they wish to have. After practicing some basic matrix operations the class could do the...
Curated OER
Distance, Numbers and Data
For this distance worksheet, students solve problems involving distance, rate, and variation. This two-page worksheet contains four problems.
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, young scholars use specific functions on their calculators to create graphs...
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...
Willow Tree
Bar Graphs
Circles, lines, dots, boxes: graphs come in all shapes in sizes. Scholars learn how to make a bar graph using univariate data. They also analyze data using those bar graphs.
EngageNY
Distributions—Center, Shape, and Spread
Data starts to tell a story when it takes shape. Learners describe skewed and symmetric data. They then use the graphs to estimate mean and standard deviation.
EngageNY
Sampling Variability in the Sample Mean (part 2)
Reduce variability for more accurate statistics. Through simulation, learners examine sample data and calculate a sample mean. They understand that increasing the number of samples creates results that are more representative of the...
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