R Dataset / Package car / Baumann

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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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Numerical Summaries

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Plot

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Regression

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<iframe src="https://embed.picostat.com/r-dataset-package-car-baumann.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-55365.csv 1.34 KB
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 Baumann data set which pertains to Methods of Teaching Reading Comprehension. The Baumann data set is found in the car R package. You can load the Baumann data set in R by issuing the following command at the console data("Baumann"). This will load the data into a variable called Baumann. If R says the Baumann data set is not found, you can try installing the package by issuing this command install.packages("car") 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 Baumann R data set. The size of this file is about 1,373 bytes.

Documentation

Methods of Teaching Reading Comprehension

Description

The Baumann data frame has 66 rows and 6 columns. The data are from an experimental study conducted by Baumann and Jones, as reported by Moore and McCabe (1993) Students were randomly assigned to one of three experimental groups.

Usage

Baumann

Format

This data frame contains the following columns:

group

Experimental group; a factor with levels: Basal, traditional method of teaching; DRTA, an innovative method; Strat, another innovative method.

pretest.1

First pretest.

pretest.2

Second pretest.

post.test.1

First post-test.

post.test.2

Second post-test.

post.test.3

Third post-test.

Source

Moore, D. S. and McCabe, G. P. (1993) Introduction to the Practice of Statistics, Second Edition. Freeman, p. 794–795.

References

Fox, J. (2008) Applied Regression Analysis and Generalized Linear Models, Second Edition. Sage.

Fox, J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition, Sage.

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

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