[Blindmath] Recommendations/Freebees for Statistics Books

[Zach]

Hello: 

 

I've introduced myself a few times, but just to reiterate, I'm a blind
graduate student at Mississippi State University in the department of Animal
Dairy Science. Last semester was such a nightmare finding an accessible
version of my textbook; my disabilities office was having issues translating
the PDF into nemeth, I couldn't figure out how to get the MathML set up to
work like it did at Cornell; finally about a month and a half into the class
I was able to renew my membership with Learning Ally and get the book. It
was still a struggle learning SAS when the only person who comprehended I
couldn't use the mouse was my advisor, and the professor would ask so many
"based on the graph." questions; but I'm almost done. I took an incomplete
in the class and just have one homework, two take home tests and the final
exam to finish up. Anyway, to make a long story short, my advisor said that
because of the issues I'd had in stats, which is a department known
campus-wide to have issues providing non-stats students quality education,
and because I matriculated before the requirements were changed that she
would only have me take the one stats. All other students are taking both
semesters of stats, and I know there is a lot more I need to learn about
study design. 

I have a book, "The Theory of the Design of Experiments" by D.R. Cox and N.
Reid, but the equations can't be read. If someone can help either by
suggesting a book on the Learning Ally Library, or telling me where I could
get a free or significantly reduced price accessible book I would be most
appreciative. Concepts covered in my introductory stats included:

Means, medians, modes, percentiles, etc.

Standard deviation

Probability

Binomial distributions

Z-tests and confidence intervals

T-tests

Inference for distributions

Inference for the mean of a population

Comparing two means

Inference for Proportions

Inference for single proportion

Comparing two proportions

Chi-square

Inference for two-way tables

*         Formulas and models for two-way tables

Goodness of fit

*         Inference for regression

*         Simple linear regression

*         Inference for multiple regression

*         One-way analysis of variance

*         Inference for one-way analysis of variance

*         Comparing the means

*         Two-way INOVA model 

*         Inference for two-way INOVA

I listed mostly the chapter and section titles from the book after T-tests.
The bulleted subjects are topics I still very much need brushing up
on/supplementary material. 

 

Thanks,

 

Zac

 

P.S. if there are any JAWS SAS users out there, hello! Glad to meet you.
Happy to trade tips and questions any time.