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Statistics Education Web
Consuming Cola
Caffeine affects your heart rate — or does it? Learners study experimental design while conducting their own experiment. They collect heart rate data after drinking a caffeinated beverage, create a box plot, and draw conclusions....
Teach Engineering
Statistical Analysis of Flexible Circuits
Scholars connect statistical analysis with flexible electric circuits. They first learn about flexible circuits and their applications through a PowerPoint presentation and then consider how the fabrication process for these circuits...
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...
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
Experiments and the Role of Random Assignment
Time to experiment with mathematics! Learners study experimental design and how randomization applies. They emphasize the difference between random selection and random assignment and how both are important to the validation of the...
Statistics Education Web
Now You SeeIt, Now You Don't: Using SeeIt to Compare Stacked Dotplots to Boxplots
How does your data stack up? A hands-on activity asks pupils to collect a set of data by measuring their right-hand reach. Your classes then analyze their data using a free online software program and make conclusions as to the...
American Statistical Association
Bubble Trouble!
Which fluids make the best bubbles? Pupils experiment with multiple fluids to determine which allows for the largest bubbles before popping. They gather data, analyze it in multiple ways, and answer analysis questions proving they...
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...
Curated OER
Fantasy Baseball
Check out this thematic unit, based on the game of baseball. Learners investigate numbers and number relations as they become familiar with some of the basic terminology associated with the game. They focus their attention on actual...
EngageNY
Ruling Out Chance (part 2)
Help your classes find the significance in this lesson! Learners analyze the probability of Diff values. They then determine if the difference is significant based on their probability of occurrence.
EngageNY
Ruling Out Chance (part 3)
Pupils analyze group data to identify significant differences. They use simulation to create their own random assignment data for comparison.
Bowland
Fashionista
So trendy! Show your class how to identify trends in sales patterns using mathematics. Scholars use a software simulation to collect data on age groups, price, and sales at a fashion store. This data allows individuals to determine the...
EngageNY
Selecting a Sample
So what exactly is a random sample? The 15th part in a series of 25 introduces the class to the idea of selecting samples. The teacher leads a discussion about the idea of convenient samples and random samples. Pupils use a random...
Curated OER
Making Sense of the Census
Young scholars problem solve the mean and median of agricultural data by completing a worksheet. They discuss the results of the statistical data.
Curated OER
Hurricanes
Young scholars research the formation and life-span of hurricanes and, after analyzing statistics, try their hand at plotting and predicting the course a hurricane.
Curated OER
Kinzi Deaf Alumni
Young scholars use data of school alumni to create a database. The lesson uses technology and access to a computer lab is essential. The concepts of graphing statistics is also used to help teach across the curriculum.
Curated OER
Prosperity and Challenges
Students watch a slideshow about the technological advances in agriculture. After viewing, they complete an index card about one aspect of the slideshow. In groups, they create a cause and effect timeline in which they identify specific...
Curated OER
Graphing And Data Presentation
Students engage in a study of science and mathematics with the practice of creating graphs. A guest speaker comes to the class to share statistics from the community and the students are shown how he uses the coordinate system in the...
Curated OER
Investigation - Design Your Own Spinner
Seventh graders use ideas of uncertainty to illustrate that mathematics involves more than exactness when dealing with every day situations. The main standard of this instructional activity is statistics and probability.
Curated OER
Which Chocolate Is The Biggest?
Learners investigate the concepts of area and perimeter with the use of chocolate bars. They calculate the perimeter and area of different size rectangle chocolate bars and record the statistics. Then students make a visual comparison...
Curated OER
Bird Interdisciplinary Possibilities
Students explore birds, their territory, breeding, and seasonal movement. They research and collect information on birds through writing letters to ornithologists, reading in books, comparing web sites, and observing pictures. Students...
Curated OER
Design of Experiments
In this statistics worksheet, students read studies and determine if they are experimental or observational. They identify the type of sampling used in 5 studies.
Curated OER
Frequency Distributions
In this statistics worksheet, students solve 5 frequency problems. In four of the problems, the frequency table is provided and students construct one relative frequency table, one cumulative frequency table, and two cumulative relative...
Curated OER
Measures of Center
In this statistics worksheet, young scholars find mean, median, and mode for 3 problems. They find the mean of summarized data in 2 problems.
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