Curated OER
Data Analysis Using Technology
Analyze data using technology. Middle schoolers design data investigations, describe data, and draw their own conclusions. Then they select the best type of graph, graph and interpret the data, and look for patterns in trends. They also...
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.
Curated OER
Data Analysis and Froot Loops
Use this probability and graphing lesson to have your learners work with a partner to make a necklace out of Froot Loops. They record the cereal colors randomly chosen and strung, graph their data, then use a ratio formula to determine...
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...
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, 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 series.
EngageNY
Random Sampling
Sample pennies to gain an understanding of their ages. The 16th installment of a 25-part series requires groups to collect samples from a jar of pennies. Pupils compare the distribution of their samples with the distribution of the...
Curated OER
Data, Data, Everywhere... and What Am I To Think?
Students demonstrate good random sampling techniques for data collection, select and develop graphic presentations of data and analyze the data to solve a problem presented.
Regents Prep
Activity to Show Sample Population and Bias
There is bias in many aspects of our lives, and math is no exception! Learners explore provided data to understand the meaning of biased and random samples. The resource includes various data sets from the same population, and...
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.
American Statistical Association
Don't Spill the Beans!
Become a bean counter. Pupils use a fun activity to design and execute an experiment to determine whether they can grab more beans with their dominant hand or non-dominant hand. They use the class data to create scatter plots and then...
Statistics Education Web
Did I Trap the Median?
One of the key questions in statistics is whether the results are good enough. Use an activity to help pupils understand the importance of sample size and the effect it has on variability. Groups collect their own sample data and compare...
Curated OER
Data Analysis and Bias
In this probability and statistics worksheet, learners determine when a collected data or a graph of the data could be biased. The one page worksheet contains four multiple choice questions. Answers are included.
EngageNY
Sampling Variability in the Sample Mean (part 1)
How accurate is data collected from a sample? Learners answer this question using a simulation to model data collected from a sample population. They analyze the data to understand the variability in the results.
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...
Curated OER
Random Sampling
In this random sampling worksheet, students compare data collected by a random sample to data collected by an actual count using pieces of paper with numbers written on them. They compare their data for the actual count to the random...
EngageNY
Sampling Variability
Work it out — find the average time clients spend at a gym. Pupils use a table of random digits to collect a sample of times fitness buffs are working out. The scholars use their random sample to calculate an estimate of the mean of the...
EngageNY
Understanding Variability When Estimating a Population Proportion
Estimate the proportion in a population using sampling. The 20th installment in a series of 25 introduces how to determine proportions of categorical data within a population. Groups take random samples from a bag of cubes to determine...
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...
EngageNY
Differences Due to Random Assignment Alone
It takes a lot of planning to achieve a random result! Learners compare results of random assignment, and conclude that random assignment allows results to be attributed to chance. They also realize the set of random means are clustered...
EngageNY
Estimating a Population Proportion
Find the percent of middle schoolers who want the ability to freeze time. The 21st installment in a series of 25 has groups collect a random sample of respondents who answer a question about superpowers. Using sample statistics,...
Exploratorium
Jacques Cousteau in Seashells
Visionaries create images out of dots to demonstrate the eye-brain connection. Through this activity, they learn that the brain interprets data collected by the eye into recognizable information. Search online for "Jacques Cousteau in...
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.
American Statistical Association
Chocolicious
To understand how biased data is misleading, learners analyze survey data and graphical representations. They use that information to design their own plans to collect information on consumer thoughts about Chocolicious cereal.
Statistics Education Web
Types of Average Sampling: "Household Words" to Dwell On
Show your classes how different means can represent the same data. Individuals collect household size data and calculate the mean. Pupils learn how handling of the data influences the value of the mean.