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...
Curated OER
Data Analysis
In this data analysis worksheet, learners solve and complete 6 different problems that include using various types of data analysis. First, they create a stem-and-leaf plot of the ratios shown at the top and determine the mean, median,...
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...
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...
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
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...
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
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
Data Analysis Self-Test
In this data analysis worksheet, students complete 1 problem that has 7 parts involving mean, median, mode, range, and quartiles. Students then perform 5 operations with matrices.
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....
Khan Academy
Khan Academy: Interquartile Range (Iqr)
Practice finding the interquartile range (IQR) of a data set. Students receive immediate feedback and have the opportunity to try questions repeatedly, watch a video or receive hints.
Khan Academy
Khan Academy: Interquartile Range (Iqr)
Practice calculating the interquartile range from a set of data. Students are able to check their answers, view a solution, and watch a video or use a hint.
Quia
Ixl Learning: Interquartile Range
Brush up on your math skills relating to interquartile range then try some practice problems to test your understanding.
Texas Instruments
Texas Instruments: Numb3 Rs: "Take Out" Outliers
Based off of the hit television show NUMB3RS, this lesson has students create box-and-whisker plots for given data, and then determine which (if any) data points are outliers. Students determine outliers through two methods in this...