R Dataset / Package HSAUR / students

How To Create a Barplot

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Visual
Instructional

How To Create a Stacked Barplot

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Instructional

How To Create a Pie Chart

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Visual

How To Compute the Mean

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Numerical
Instructional

How To Create a Plot

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Visual
Instructional

How to Compute the Median

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Numerical

Boxplot

Submitted by pmagunia on April 22, 2018 - 3:07 PM
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Correlation Coefficient

Submitted by pmagunia on April 22, 2018 - 3:08 PM
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Cumulative Frequency Histogram

Submitted by pmagunia on April 22, 2018 - 3:09 PM
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Dotplot

Submitted by pmagunia on April 22, 2018 - 3:10 PM
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Hollow Histogram

Submitted by pmagunia on April 22, 2018 - 3:10 PM
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Numerical Summaries

Submitted by pmagunia on April 22, 2018 - 2:51 PM
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Pie Chart

Submitted by pmagunia on April 22, 2018 - 3:11 PM
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Plot

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Regression

Submitted by pmagunia on April 22, 2018 - 3:12 PM

Stem and Leaf Plots

Submitted by pmagunia on April 22, 2018 - 3:12 PM
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Visual Summaries

Submitted by pmagunia on April 22, 2018 - 3:13 PM
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Submitted by pmagunia on March 9, 2018 - 1:06 PM
<iframe src="https://embed.picostat.com/r-dataset-package-hsaur-students.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-90543.csv 389 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Documentation

On this Picostat.com statistics page, you will find information about the students data set which pertains to Student Risk Taking . The students data set is found in the HSAUR R package. You can load the students data set in R by issuing the following command at the console data("students"). This will load the data into a variable called students. If R says the students data set is not found, you can try installing the package by issuing this command install.packages("HSAUR") 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 students R data set. The size of this file is about 389 bytes.


Student Risk Taking

Description

Students were administered two parallel forms of a test after a random assignment to three different treatments.

Usage

data("students")

Format

A data frame with 35 observations on the following 3 variables.

treatment

a factor with levels AA, C, and NC.

low

the result of the first test.

high

the result of the second test.

Details

The data arise from a large study of risk taking (Timm, 2002). Students were randomly assigned to three different treatments labelled AA, C and NC. Students were administered two parallel forms of a test called low and high. The aim is to carry out a test of the equality of the bivariate means of each treatment population.

Source

N. H. Timm (2002), Applied Multivariate Analysis. Springer, New York.

Examples

  data("students", package = "HSAUR")
  layout(matrix(1:2, ncol = 2))
  boxplot(low ~ treatment, data = students, ylab = "low")
  boxplot(high ~ treatment, data = students, ylab = "high")
--

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