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Curated OER
Algebra 2/Trigonometry Regents Exam
Young scholars review for the Regents Exam. In this math lesson plan, students review core concept for the Regents exam by working a variety of problems. A printable worksheet is provided.
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.
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
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
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
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
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.
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...
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
Learners interpret statistics. In this data lesson, students examine and organize given data. They present the data in a grid format. Using the census data, learners determine the best location for a local business.
Curated OER
Data Display
Students explore different ways to display data. In this statistics lesson plan, students create pie charts, bar graphs and line graphs to show data. Students then write a paragraph discussing which types of graphs are helpful for...
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 lesson, students explore exponential growth and decay based on animals and things that grow or decrease exponentially. They graph their findings and discuss their results as...
Curated OER
Measuring Dispersion
Learners compute the standard deviation for a given set of data. In this measuring dispersion lesson plan, 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,...
Curated OER
Statistics and Graphing with Accelerated Math
Pupils create charts and graphs, using a spreadsheet program, of their results from their accelerated math lessons. Students discover how graphs can be used to interpret data in our everyday lives as well as how several different graphs...
Curated OER
Data Collection
Students investigate qualitative and quantitative data. In this statistics lesson, students gather data on heights and weights of people and graph the distribution. Students discuss the differences between qualitative and quantitative data.
Curated OER
The Statistics of Shoes
Students open a blank spreadsheet and format it for a class survey about the number of shoes owned by the men and women in the class. They enter the data before finding the mean, median, mode, quartiles, variance, and the standard...
Curated OER
Bias in Statistics
Young scholars work to develop surveys and collect data. They display the data using circle graphs, histograms, box and whisker plots, and scatter plots. Students use multimedia tools to develop a visual presentation to display their data.
Curated OER
Graphing Data Brings Understanding
Students collect, graph and analyze data. In this statistics lesson, students use circle, pie, bar and lines to represent data. They analyze the data and make predictions bases on the scatter plots created.
Curated OER
Remote Possibilities
Students collect data and analyze the data using a graph. In this statistics lesson, students use combinations and theoretical and experimental probability to analyze their data. They observe a remote controlled robot as they collect data.