Curated OER
So You Would Like a Wind Farm, Eh?
Students collect and analyze data correctly. In this statistics lesson, students use central tendencies to analyze collected data. They calculate where a wind farm will be placed, based on the data.
Curated OER
Black Out
Students collect and analyze data. In this statistics lesson, students plot their data on a coordinate plane and find the line of best fit. They calculate the linear regression using the data.
Curated OER
Why Data
Students investigate and discuss why data is important. In this statistics activity, students collect, graph and analyze data. They apply the concept of data and lines to finding the rate of change of the line created by the data.
Curated OER
Mean, Median and Mode
Students define mean, median, mode and outliers. In this statistics lesson, students analyze data using the central tendencies. They follow a path through a maze collecting data. They analyze the data using the mean, median and mode.
Curated OER
Mode, Median, and Mean
Students define mode, median and mean, and perform mathematical operations to determine these 3 terms. In this statistics/math lesson plan, students practice memory strategies to help distinguish between mode, median, and mean. Students...
Curated OER
Lesson Plan: The Math of Removal
Students consider the plight of those who walked the Trial of Tears. In this Indian Removal lesson, students compare statistics regarding Indian survival rates.
Curated OER
Algebra 2/Trigonometry Regents Exam
Young scholars review for the Regents Exam. In this math instructional activity, students review core concept for the Regents exam by working a variety of problems. A printable worksheet is provided.
EngageNY
Sampling Variability and the Effect of Sample Size
The 19th installment in a 25-part series builds upon the sampling from the previous unit and takes a larger sample. Pupils compare the dot plots of sample means using two different sample sizes to find which one has the better variability.
EngageNY
Summarizing Bivariate Categorical Data with Relative Frequencies
It is hard to determine whether there is a relationship with the categorical data, because the numbers are so different. Working with a familiar two-way table on super powers, the class determines relative frequencies for each...
EngageNY
Summarizing Bivariate Categorical Data
How do you summarize data that cannot be averaged? Using an exploratory method, learners complete a two-way frequency table on super powers. The subject matter builds upon 8th grade knowledge of two-way tables.
EngageNY
Using Sample Data to Compare the Means of Two or More Populations
Determine whether there is a difference between two grades. Teams generate random samples of two grade levels of individuals. Groups use the mean absolute deviation to determine whether there is a meaningful difference between the...
EngageNY
Methods for Selecting a Random Sample
Random sampling is as easy as choosing numbers. Teams use random numbers to create a sample of book lengths from a population of 150 books. The groups continue by developing a technique to create samples to compare from two populations...
EngageNY
Sampling Variability in the Sample Proportion (part 1)
Increase your sample and increase your accuracy! Scholars complete an activity that compares sample size to variability in results. Learners realize that the greater the sample size, the smaller the range in the distribution of sample...
EngageNY
Margin of Error When Estimating a Population Proportion (part 1)
Use the power of mathematics to find the number of red chips in a bag — it's a little like magic! The activity asks learners to collect data to determine the percentage of red chips in a bag. They calculate the margin of error and...
EngageNY
Fair Games
What constitutes a fair game? Scholars learn about fair games and analyze some to see if they are fair. They extend this idea to warranties and other contexts.
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...
National Council of Teachers of Mathematics
The Game of SKUNK
Do I stand or do I sit? The class plays a dice game where they must decide to either continue to stand and play or sit down and keep their points. After the game, groups discuss individuals' strategies and see connections to the...
Curated OER
Important Decisions Don't Just Happen! Using Data to Plan Your Services
Students interpret statistics. In this data instructional activity, students examine and organize given data. They present the data in a grid format. Using the census data, students determine the best location for a...
Curated OER
Data Display
Students explore different ways to display data. In this statistics instructional activity, students create pie charts, bar graphs and line graphs to show data. Students then write a paragraph discussing which types of graphs are helpful...
Curated OER
NUMB3RS - Season 3 - "Provenance" - Set the Trap
Learners investigate concept of matrices through iteration in this probability lesson. They investigate probability by creating a lesson based on a famous painting. This assignment contains extensions to the...
Curated OER
Assessing Quality of Life
Eleventh graders research quality of life indicators for a list of countries looking at such things as infant mortality rate, and gross domestic product. They rank the countries from best to worst regarding quality of life issues.
Curated OER
Carrying Capacity of Ecosystems
Young scholars define population and carrying. In this algebra instructional activity, students explore exponential growth and decay based on animals and things that grow or decrease exponentially. They graph their findings and discuss...
Curated OER
Measuring Dispersion
Students compute the standard deviation for a given set of data. In this measuring dispersion lesson, students compute the mean, and then the distance from the mean for each data point. They find the standard deviation of the data.
Curated OER
Variance and Covariance: How much to do baseball players really make?
Is baseball really the road to riches? Here, statisticians look at salary data from baseball players and use variance to measure the spread of the data to more accurately answer that question. Note: The salary data provided is from 1994,...