Statistics Laminate Reference Chart: Parameters, Variables, Intervals, Proportions (Quickstudy: Academic )
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This guide is a perfect overview for the topics covered in introductory statistics courses.

Series: Quickstudy: Academic

Pamphlet: 6 pages

Publisher: Barcharts; Lam Crds edition (November 1, 2005)

Language: English

ISBN-10: 1572229446

ISBN-13: 978-1572229440

Product Dimensions: 8.5 x 11 x 0.1 inches

Shipping Weight: 0.3 ounces (View shipping rates and policies)

Average Customer Review: 4.4 out of 5 stars  See all reviews (169 customer reviews)

Best Sellers Rank: #2,235 in Books (See Top 100 in Books) #1 in Books > Science & Math > Mathematics > Reference #3 in Books > Business & Money > Education & Reference > Statistics #4 in Books > Textbooks > Science & Mathematics > Mathematics > Statistics

The Graduate School I attend has a mandatory requirement- all students must register and pass (with a B or better) Introductory and Advanced Statistics.Intro Statistics was "instructed" by a gentleman who wanted to be anywhere else but the classroom. (Read:Taught myself Intro Stats). There are many texts that review statistical concepts and provide a step-by-step illustrations of the never-ending list of formulas. Having read a stack of textbooks, not one provides a condensed summary of all the procedural and conceptual explanations. This chart is the "missing link" . If for nothing else, you can use it as a placemat.

I'm currently taking a nasty class in modeling and simulation, with an emphasis on statistical analysis of inputs and outputs. This cheat sheet has been a lifesaver. Its great for doing homework and midterms when I don't want to fish out my book and look through all 700 pages for a formula or t-distribution table. The theories are well-written and straightforward. This has actually helped me understand lecture material that didn't absorb during class. I've used about 3/4 of the items provided in one class alone. I highly recommend this product for anyone taking a similar class.

This is one of the best of the Quick Study guides. It's about as helpful a condensation of the first semester or two of stat that you'll find. With so many grad programs, from psychology to biology to MBAs requiring at least a semester or two of stat there's a great need for a terrific little primer like this. I've been using the Quick Study guides (now BarCharts) for almost 40 years and they're the best short guides out there. I like the plastic format which won't stain or if it gets dirty you can just wipe it off or clean it with a little soap and water. Many of these, from philosophy to stat to psychology to chemistry, were almost constant companions in college. This one covers basic concepts, formulas, and tests for introductory inferential statistics. It's a great reference and teaching aid for this often confusing area.

I bought this for a college stats class. I did not need that expensive textbook after this. Wish I would have purchased this first. It has examples for everything you use in a college stats class. Homework was never easier and it was handy to have. I resold it to people taking the class after me for 100% of the price because it is easy to use and well worth it. The other student took one look at it and did not try to haggle or anything, just handed me the money and said thanks.

This chart was a lifesaver during my Social Statistics class. I doubt I would have passed the course without it.

If it can be done statistically, it is here. I needed a quick fix to brush up on teaching AP Statistics and this helps greatly.

For a math challenged person as myself, this chart is excellent as a quick resource for statistics when working on a dissertation. Formulas and examples are provided that cover the content of a $100 book, conveniently hole-punched and laminated for quick reference. I wish it also gave a brief description of how each statistic is used to come to certain conclusions why the measures are used, such as what conclusions can be made in reference to educational measurement. But, for a quick reference guide, it has everything covered in basic statistics and then some (such as ANOVA and linear regression).

I only used the Critical Values of Z and T tables from this little guide and that's it. Nothing else was of value to me, and even those two tables were provided in the textbook (it was just more convenient to refer to this guide than the textbook). The guide doesn't even have the correlation coefficient, or critical values of r, table, which it should have. Anyway, I guess this guide is okay, but I don't see it being a huge help for a Stats class.

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