EngageNY
Describing Variability Using the Interquartile Range (IQR)
The 13th 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 using an...
EngageNY
Measuring Variability for Skewed Distributions (Interquartile Range)
Should the standard deviation be used for all distributions? Pupils know that the median is a better description of the center for skewed distributions; therefore, they will need a variability measure about the median for those...
Willow Tree
Extremes, Range, and Quartiles
The middle of the data is important, but what about the rest of it? The lesson plan shows learners the importance of the range, quartiles, and extreme values. Pupils practice finding each of these values from given data sets.
Curated OER
Introduction to Measures of Central Tendency and Variability
Students calculate the mean, median, mode, range, and interquartile range for a set of data. They create a box and whisker plot using paper, pencil and technology.
Georgia Department of Education
Math Class
Young analysts use real (provided) data from a class's test scores to practice using statistical tools. Not only do learners calculate measures of center and spread (including mean, median, deviation, and IQ range), but...
EngageNY
Comparing Distributions
Data distributions can be compared in terms of center, variability, and shape. Two exploratory challenges present data in two different displays to compare. The displays of histograms and box plots require different comparisons based...
Curated OER
Making Informed Decisions Using Measures of Central Tendency
Students calculate the mean, median, mode, range, and interquartile range for a set of data. They create a box and whisker plot using paper and pencil and technology and determine which measure of central tendency is the most helpful in...
EngageNY
Presenting a Summary of a Statistical Project
Based upon the statistics, this is what it means. The last lesson in a series of 22 has pupils present the findings from their statistical projects. The scholars discuss the four-step process used to complete the project of their...
American Statistical Association
How Fast Are You?
Quick! Snap up the instructional activity. Scholars first use an online app to collect data on reaction times by clicking a button when the color of a box changes. They then plot and analyze the data by considering measures of center,...
Curated OER
Comparing Data
Eighth graders create a survey, gather data and describe the data using measures of central tendency (mean, median and mode) and spread (range, quartiles, and interquartile range). Students use these measures to interpret, compare and...
American Statistical Association
Bear Hugs
Scholars research arm span to determine who gives the best bear hugs. They use data from a national study to find the standard statistics for arm span. It includes mean, median, quartiles, spread, standard deviation, and more.
American Statistical Association
Tell it Like it is!
Scholars apply prior knowledge of statistics to write a conclusion. They summarize using correct academic language and tell the story of the data.
American Statistical Association
Step into Statastics
Class members study the size of classmates' feet and perform a statistical analysis of their data. They solve for central tendencies, quartiles, and spread for the entire group as well as subgroups. They then write a conclusion based on...
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...
EngageNY
Describing Center, Variability, and Shape of a Data Distribution from a Graphical Representation
What is the typical length of a yellow perch? Pupils analyze a histogram of lengths for a sample of yellow perch from the Great Lakes. They determine which measures of center and variability are best to use based upon the shape of the...
EngageNY
Summarizing a Data Distribution by Describing Center, Variability, and Shape
Put those numbers to work by completing a statistical study! Pupils finish the last two steps in a statistical study by summarizing data with displays and numerical summaries. Individuals use the summaries to answer the statistical...
Curated OER
comparison of Two Gender Sports Teams
Students gather data on sports team and create a box and whisper plot. In this data collection lesson, students find the median, the quartile range, and relationships between variables.
Curated OER
Box And Whiskers
Students investigate the concept of using box and whisker plots. They demonstrate how to use them to compute median, mode, and range. Students compare and contrast the complete and systematic processes use to solve problems. This is done...
Curated OER
What Are The Chances
Students calculate the probability of an event occurring. In this probability lesson, students differentiate between independent, dependent or compound events. They find the range of the data.
Curated OER
Center and Spread
Young scholars collect and analyze data. In this statistics lesson, students define and calculate the range, median and standard deviation. They identify reasons for a skewed distribution.
Curated OER
Mean Absolute Deviation in Dot Plots
The lesson focuses on the ideas of dot plot representations and the mean absolute deviation of data sets.
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
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.
McGraw Hill
Lesson 12: Absolute Mean Deviation
Learn a different way to determine variability. An informative instructional activity provides directions on how to calculate the mean absolute deviation of a data set. Pupils use examples to learn the process and then practice finding...
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