[BlindRUG] BlindRUG Digest, Vol 53, Issue 1

Robin Williams Robin.Williams at atass-sports.co.uk
Fri Mar 5 08:40:19 UTC 2021


I agree entirely with this. There is no skill in reading from a statistical table, nor is it useful in any meaningful practical setting. In fact I would argue that better understanding of probability distributions will be developed by learning to use the appropriate functions in R.

-----Original Message-----
From: BlindRUG <blindrug-bounces at nfbnet.org> On Behalf Of Godfrey, Jonathan via BlindRUG
Sent: 04 March 2021 20:33
To: Blind R Users Group <blindrug at nfbnet.org>
Cc: Godfrey, Jonathan <A.J.Godfrey at massey.ac.nz>
Subject: [EXTERNAL EMAIL] Re: [BlindRUG] BlindRUG Digest, Vol 53, Issue 1

Hello Amy,

Finding our way around a large table (even in a spreadsheet) takes us much longer than the equivalent actions taken by sighted people who can scan quickly down a column.

I struggle with the over-use of old solutions that were good for their time but inferior in a modern context. Sighted students have been able to use their scientific calculators for years so why should teaching staff push their blind students back into the 20th century.

Jonathan


-----Original Message-----
From: BlindRUG <blindrug-bounces at nfbnet.org> On Behalf Of Amy Albin via BlindRUG
Sent: Friday, 5 March 2021 8:46 AM
To: blindrug at nfbnet.org
Cc: Amy Albin <amyralbin at gmail.com>
Subject: Re: [BlindRUG] BlindRUG Digest, Vol 53, Issue 1

Hello Jonathan,

Thank you for your response. As a blind person in a society that often has low expectations, it's hard to know whether using a calculator or R is an excuse to not learn the skill of reading the Z table. Like some blind people have people take class notes for them because they can't read and write independently. I suppose you're saying this is a case where blindness actually does make it harder?

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More information and useful links about using R as a blind person can be obtained at:
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Look for help using R commands by reading the accessible e-book "Let's Use R Now" compiled by Jonathan Godfrey at:
http://R-Resources.massey.ac.nz/lurn/front.html




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