SOCR EduMaterials Activities QQChart

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QUANTILE-QUANTILE CHARTS

Summary

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

Goals

The purpose of this activity is to:

  • show users how SOCR QQ charts are plotted and what conclusions may be drawn

Background

Quantile-Quantile Charts, or QQ Charts, are plots in which observed values are plotted against theoretical quantiles. From the plotted points, a line of good fit is drawn to show the behavior of the data values against the theoretical distribution.

For references, visit QQ Charts and Examples.

Description

Go to the SOCR Charts and select Line Charts from the items located on the left, then select the demonstration for QQ Charts:

SOCR Activities QQCharts Chui 090607 Fig1.jpg

The image above is a demonstration of a simple QQ Chart. Both demonstrations are similar because they both show specific data values by plotted points and a line of good fit is drawn to show the behavior of the data.

Examples & Exercises

  • Exercise 1: What is the main difference between QQ Charts and other types of charts?

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. There is one type of value allowed in QQ Charts which are numerical or quantitative variables. The image below demonstrates how these values are listed to the corresponding order:

SOCR Activities QQCharts Chui 090707 Fig2.jpg

Applications

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

For QQ Charts, they may be applied to any data values that consist of observed values and theoretical values such as experiments. Suppose scientists developed theoretical values for water consumption among athletic males by age and weight. They then obtain a sample of the population of males and observed the water consumption for each patient. Graphing these values will allow the scientists to draw a line of good fit and help decide the acceptability of their theories.



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