R Dataset / Package Stat2Data / WordMemory

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How To Compute the Mean

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How To Create a Plot

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How to Compute the Median

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Correlation Coefficient

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<iframe src="https://embed.picostat.com/r-dataset-package-stat2data-wordmemory.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-53253.csv 762 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the WordMemory data set which pertains to WordMemory. The WordMemory data set is found in the Stat2Data R package. You can load the WordMemory data set in R by issuing the following command at the console data("WordMemory"). This will load the data into a variable called WordMemory. If R says the WordMemory 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 WordMemory R data set. The size of this file is about 762 bytes.

Documentation

WordMemory

Description

Percentage of different types of words recalled

Format

A dataset with 40 observations on the following 4 variables.

Subject Code to identify each subject: A to J
Abstract Words were abstract? No or Yes
Frequent Words were common? No or Yes
Percent Percentage of words recalled (out of 25)

Details

One hundred words were presented to each subject in a randomized order. The goal of the experiment was to see whether some kinds of words were easier to remember than others. In particular, are common words like potato, love, diet, and magazine easier to remember than less common words like manatee, hangnail, fillip, and apostasy? Are concrete words like coffee, dog, kale, and tamborine easier than abstract words like beauty, sympathy, fauna, and guile? There were 25 words each of four kinds, obtained by crossing the two factors of interest, Abstraction (concrete or abstract) and Frequency (common or rare).

Source

Data from a student laboratory project, Department of Psychology and Education, Mount Holyoke College.

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

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