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
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.
EngageNY
More Practice with Box Plots
Don't just think outside of the box — read outside of it! The 15th lesson in a 22-part unit provides pupils more work with box plots. Learners read the box plots to estimate the five-number summary and interpret it within the context....
EngageNY
Describing Variability Using the Interquartile Range (IQR)
The 13th instructional 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...
EngageNY
Describing Distributions Using the Mean and MAD II
The 11th lesson in the series of 22 is similar to the preceding lesson, but requires scholars to compare distributions using the mean and mean absolute deviation. Pupils use the information to make a determination on which data set is...
EngageNY
Describing Distributions Using the Mean and MAD
What city has the most consistent temperatures? Pupils use the mean and mean absolute deviation to describe various data sets including the average temperature in several cities. The 10th lesson in the 22-part series asks learners to...
EngageNY
Variability in a Data Distribution
Scholars investigate the spread of associated data sets by comparing the data sets to determine which has a greater variability. Individuals then interpret the mean as the typical value based upon the variability.
EngageNY
The Mean as a Balance Point
It's a balancing act! Pupils balance pennies on a ruler to create a physical representation of a dot plot. The scholars then find the distances of the data points from the balance point, the mean.
EngageNY
Describing the Center of a Distribution Using the Mean
Everyone does their fair share. The sixth segment in a 22-part unit presents the mean as a fair share. Groups build a conceptual understanding of the mean of a data set, rather than simply learn an algorithm. Learners use the...
EngageNY
Describing a Distribution Displayed in a Histogram
The shape of the histogram is also relative. Learners calculate relative frequencies from frequency tables and create relative frequency histograms. The scholars compare the histograms made from frequencies to those made from relative...
EngageNY
Creating a Histogram
Display data over a larger interval. The fourth segment in a 22-part unit introduces histograms and plotting data within intervals to the class. Pupils create frequency tables with predefined intervals to build histograms. They describe...
EngageNY
Creating a Dot Plot
Which dot am I? Pupils create dot plots to represent sample data through the use of frequency tables. The third segment in a series of 22 asks individuals to analyze the dot plots they created. The scholars translate back and forth...
Mathematics Vision Project
Modeling Data
Is there a better way to display data to analyze it? Pupils represent data in a variety of ways using number lines, coordinate graphs, and tables. They determine that certain displays work with different types of data and use two-way...
NOAA
History's Thermometers
How is sea coral like a thermometer? Part three of a six-part series from NOAA describes how oceanographers can use coral growth to estimate water temperature over time. Life science pupils manipulate data to determine the age of corals...
Columbus City Schools
Earthly Waves
How did scientists discover what lies beneath the earth's surface? Dig a hole? X-ray vision? Guide your class through the types of seismic waves and how these waves helped shed light on Earth's many layers. The included resources provide...
Columbus City Schools
History Helps When It Comes To Plate Tectonics
Get ready to move, shake, slip, and slide with a well-rounded plate tectonics unit! The engaging resource includes everything you need to inspire eighth grade science scholars, from worksheets to demonstrations. Assess their...
Teacher's Corner
Brandon's Baseball Collection
Ten questions make up a instructional activity that challenges baseball enthusiasts to read a graph then answer questions pertaining to the data's range, mean, median, and mode.
John F. Kennedy Presidential Library & Museum
Red States/Blue States: Mapping the Presidential Election
Young historians investigate how voting patterns have changed by comparing the outcome of the 1960 election to the outcome of the recent election. A creative final assessment has participants making a news show wherein they provide...
Carolina K-12
The Results are In! Examining Our First Vote Election
The 2016 election is over, and now it's time to dig in to some data! An activity revolves around data gathered from the First Vote Project in North Carolina wherein thousands of students voted. After diving in to the data using provided...
CK-12 Foundation
Exponential Decay: Cool Sunglasses
Who wouldn't want to wear four pairs of sunglasses? Each pair of sunglasses reduces the percent of incoming light by one-half. An interactive tutorial helps young mathematicians build a graph that models this scenario. They then explore...
CK-12 Foundation
Matrices to Represent Data: Houndstooth
Apply matrices to fashion. Here your classes use a matrix to create a popular clothing design. As they construct the pattern, they review the dimensions of a matrix by considering the rows and columns.
Chicago Botanic Garden
Plant Phenology Data Analysis
Scientists monitor seasonal changes in plants to better understand their responses to climate change, in turn allowing them to make predictions regarding the future. The last activity in the series of six has scholars analyze BudBurst...
Chicago Botanic Garden
What Can Tree Rings Tell Us About Climate?
Tree rings are slightly thicker on the south side of the tree because it receives more sunlight. Part two in a series of five lessons helps learners analyze tree rings to determine the environmental conditions that caused size...
Teach Engineering
Linear Regression of BMD Scanners
Objects may be more linear than they appear. Scholars investigate the relationship between the number of bone mineral density scanners in the US and time. Once they take the natural logarithm of the number of scanners, a linear...