On this R-data statistics page, you will find information about the Popcorn data set which pertains to Popcorn. The Popcorn data set is found in the Stat2Data R package. You can load the Popcorn data set in R by issuing the following command at the console data("Popcorn"). This will load the data into a variable called Popcorn. If R says the Popcorn data set is not found, you can try installing the package by issuing this command install.packages("Stat2Data") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Popcorn R data set. The size of this file is about 199 bytes.

Popcorn

Description

Unpopped kernels in bags of microwave popcorn

Format

A dataset with 12 observations on the following 3 variables.

R project statistics dataset table

Unpopped	Number of unpopped kernels (adjusted for size difference
Brand	Orville or Seaway
Trial	Trial number

Details

Two students, Lara and Lisa, conducted an experiment to compare Orville Redenbacher's Light Butter Flavor vs. Seaway microwave popcorn. They made 12 batches of popcorn, 6 of each type, cooking each batch for four minutes. They noted that the microwave oven seemed to get warmer as they went along so they kept track of six trials and randomly chose which brand would go first for each trial. For a response variable they counted the number of unpopped kernels and then adjusted the count for Seaway for having more ounces per bag of popcorn (3.5 vs 3.0).

Source

Student project

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Dataset imported from https://www.r-project.org.