# Tutorial 2: How To Determine w

(Difference between revisions)
 Revision as of 17:28, 6 October 2011 (view source)Sharon (Talk | contribs) (→See also)← Older edit Latest revision as of 14:35, 21 May 2013 (view source)Panamath (Talk | contribs) (add workbook link) (One intermediate revision not shown) Line 1: Line 1: Below are some Excel workbooks that will aid you in the process of generating statistics for Panamath: Below are some Excel workbooks that will aid you in the process of generating statistics for Panamath: + + [http://panamath.org/tutorials/panamath_weber_curve_fitting.xls Weber curve fitting workbook (.xls)] == Creating a Gaussian function == == Creating a Gaussian function == Line 16: Line 18: *[[Tutorial 1: How To Test A Participant]] *[[Tutorial 1: How To Test A Participant]] - *[[Tutorial 2: How to Determine W]] + *[[Tutorial 2: How to Determine w]] *[[Resources]] *[[Resources]] *[[Weber Fraction (Beginners)]] *[[Weber Fraction (Beginners)]]

## Latest revision as of 14:35, 21 May 2013

Below are some Excel workbooks that will aid you in the process of generating statistics for Panamath:

## Creating a Gaussian function

An explanation of what a Gaussian or normal distribution is and how it can be calculated from generated Panamath data. This excel sheet provides two ways of plotting the Gaussian function by using the typical formula and by using the NORMDIST feature in Excel. The document also specifies how the Gaussians of idealized subjects change when they have differing Weber fractions.

## Weber curve fitting

How to generate the Weber fraction and fit a curve model to the data generated. This worksheet also includes a form whereby you can enter your data and generate your own results. Before downloading this, please make sure you have the Analysis Toolpack in Excel activated. It is, by default, turned off. To turn it on, go to "Tools" and then "Add-ins." Then click on "Analysis ToolPak" and, for good measure, "Analysis ToolPak VBA." Close Excel and reopen the workbook. The formula should be operational and editable.

## Varying p(GUESS) and the Weber fraction

An illustration of how varying p(GUESS) -- the probability of the user guessing because they missed the stimulus -- and the Weber fraction can affect the resulting ogival curve. The latter is also known as the "Percent Correct" curve, which increases linearly and smoothly to different extents depending on these two variables.