Curated OER
Comparison of Univariate and Bivariate Data
Learners explore the concept of univariate and bivariate data. In this univaritate and bivariate data instructional activity, pupils discuss the differences between univariate and bivariate data. They work sample problems where they must...
Virginia Department of Education
Organizing Topic: Data Analysis
Learners engage in six activities to lead them through the process of conducting a thorough analysis of data. Pupils work with calculating standard deviations and z-scores, finding the area under a normal curve, and sampling...
EngageNY
Summarizing Bivariate Categorical Data in a Two-Way Table
Be sure to look both ways when making a two-way table. In the lesson plan, scholars learn to create two-way tables to display bivariate data. They calculate relative frequencies to answer questions of interest in the 14th part of the...
CK-12 Foundation
Displaying Univariate Data: Ordering Leaves
Leaf a little time to organize data. Given data displayed in a stem-and-leaf plot, learners organize the data in a list. Pupils use the data to determine the mode, median, and range of the data set. They determine the benefits of using a...
National Council of Teachers of Mathematics
Eruptions: Old Faithful Geyser
How long do we have to wait? Given several days of times between eruptions of Old Faithful, learners create a graphical representation for two days. Groups combine their data to determine an appropriate wait time between eruptions.
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.
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.
Curated OER
Transforming Univariate Data
Learners analyze plotted data in this statistics lesson. They differentiate between skewed and normal data. They also explore and interconnect exponential growth and decay as it relates to the data.
Curated OER
Categorizing Data and Bias
In this categorizing data and bias worksheet, 9th graders solve 10 different problems that include various types of qualitative or quantitative data. First, they determine if the problem stated is univariate or bivariate data. Then,...
Radford University
A Change in the Weather
Explore the power of mathematics through this two-week statistics unit. Pupils learn about several climate-related issues and complete surveys that communicate their perceptions. They graph both univariate and bivariate data and use...
Virginia Department of Education
Box-and-Whisker Plots
The teacher demonstrates how to use a graphing calculator to create box-and-whisker plots and identify critical points. Small groups then create their own plots and analyze them and finish by comparing different sets of data using box...
Curated OER
Power Metering Project
Students collect and analyze variable data and understand the concept of electrical power. In this energy lesson students use a spreadsheet to manage their data and create box plots.
Curated OER
Univariate Data Analysis
Students use given data to compare baseball players. They create box and whisker plots to compare the players and determine which they feel is the best player. Students use calculators to make box and whisker plots. They write paragraphs...
Curated OER
Influence and Outliers
Using the TI-Nspire calculator, statisicians identify outliers and their effect on the least-squares regression line. In finding the line of best fit, they determine what points will affect the least squares regressions and what points...
Statistics Education Web
Double Stuffed?
True or false — Double Stuf Oreos always contain twice as much cream as regular Oreos. Scholars first measure the masses of the filling in regular Oreos and Double Stuf Oreos to generate a class set of data. They use hypothesis testing...
Curated OER
Center of Mass
Students identify the geometric mean of their data. In this statistics lesson, students collect data and graph their findings. They identify the mean, range and mode.
Curated OER
What Are The Chances
Students calculate the probability of an event occurring. In this probability lesson, students differentiate between independent, dependent or compound events. They find the range of the data.
Curated OER
comparison of Two Gender Sports Teams
Students gather data on sports team and create a box and whisper plot. In this data collection instructional activity, students find the median, the quartile range, and relationships between variables.
Curated OER
Rotation Sensor Challenge
Students participate in a challenge to construct a rotation sensor with the highest degree of accuracy and repeatability. They conduct computer analysis of their sensor using repeated trial.
Curated OER
Heart Smart in a Heart Beat
As an introductory activity, young statisticians measure their heart rate at rest and after exercise and compute the mean and median, and create a box & whisker plot. This is followed by watching a video (that no longer seems...
Texas Instruments
Texas Instruments: Comparing Distributions of Univariate Data
Students compare univariate data distributions using statistical concepts like box plots, stem plots, and histograms.
Texas Instruments
Texas Instruments: Distributions and Univariate Data
This set contains statistics questions comparing distributions of univariate data. The student is asked to note the differences between distributions regarding center, shape, spread, and existence of outliers.
CK-12 Foundation
Ck 12: Statistics: Displaying Univariate Data
[Free Registration/Login may be required to access all resource tools.] This Concept shows student how to make stem-and-leaf plots as well as dot plots in order to display data with one variable.
Shodor Education Foundation
Shodor Interactivate: Comparison of Univariate and Bivariate Data
Learners learn about the difference between univariate and bivariate data and understand how to choose the best graph to display the data.