# SOCR EduMaterials Activities YIntervalChart

### From Socr

## Contents |

## Y INTERVAL CHART

## Summary

This activity describes the need, general methods and SOCR utilities for the y interval chart. The simulated data may then be easily copied and pasted in different SOCR Analyses or Graphing tools for further interrogation.

## Goals

The aims of this activity is to:

- gain a greater understanding of the y interval chart
- utilize SOCR y interval chart applet

## Background

The Y Interval Chart is often useful for displaying the range of different types of groups under one event. It may help compare the variances of the events by differentiating between the lengths of each event.

For reference, see Examples.

## Description

Go to the SOCR Charts and select Miscellaneous from the items located on the left, then select Y Interval Chart Demo:

Note that there is one series of event that is graphed in separate intervals, each having different lengths.

## Data Type and Format

By clicking **Data** between the *Graph* and *Mapping* button, it allows users to input or vary the values of the data set. For the Y Interval Charts, the first column in the data table provided by the applet is a list of the series or events of the data values. The second column is the corresponding end points of the interval of the data. Note that the end points are separated with a comma. The image below demonstrates this structure:

## Applications

One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation.

The Y Interval Charts is beneficial for those who desire to compare one event under different conditions or variables.

For example, suppose researchers want to determine the effectiveness of a prescription drug for different ages. The event would be the effectiveness of the drug and the independent variables may be the specific age of the patients. The dependent variable will then be the concentration or effectiveness of the drug on each person.

Suppose students would like to determine the effect of caffeine among their peers. As each person is tested on a can of soda, the experimenters will determine when the caffeine will take place and for how long, thus the dependent variable will be the time period and the independent variable will be the patient.

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