Statistics For People Who Hate Statistics
This book is accessible and an easy to read for students research training. Really makes stats easy to grasp! Now, students possess a resource that they can revisit in their home or dorm room. New chapter-ending exercises are included and contain a variety of levels of application. As someone who doesn't have a background in statistics I appreciate that the chapters are largely in layterms and each variable is labeled for the presented equations.
This book has been helpful in collaboration with other stats books. As an initial caveat, I am not mathematically inclined. An Introduction to Reliability and Validity. All that is to say that I was intimidated by this and the other text for the class.
Computing the Z-Test Statistic. An abundance of new practice exercises vary in their level of application and help students master techniques and procedures. Are Those Differences for Real?
Multivariate Analysis of Variance. Can Anyone Have Nothing of Anything? Computing the F-Test Statistic.
This book is not yet featured on Listopia. Introduction to Testing the Correlation. Please include your name, contact information, and the name of the title for which you would like more information. That being said there sometimes isn't a lot of explanation or examples of what an equation is used for or what a concept is.
The book served as a great review for me coming from a social science background. The author wrote in what he thought was a friendly comedic, even style - just didn't do it for me.
Creating a Frequency Distribution. Computing the Test Statistic.
The Effect Size for t ea for Two Again. Structural Equation Modeling. How Good Is Our Prediction?
Introduction to the t-Test for Dependent Samples. Excellent and far more clear than any other statistics books I've had for any other class. So You Want to Be a Scientist. The plain no-nonsense, step-by-step instruction helps today's student who already struggles with attention span. Highly recommend his book!
At this time, I'm tabling this text while I search for something the entire class can associate with. Instructions on using Excel formulae to compute reliability estimates, Chi-square values, and other non-parametric procedures prepare students to use the software when analyzing their own work. Why Understanding Variability Is Important. Students and researchers will appreciate the book's unhurried pace and thorough, friendly presentation. Squaring the Correlation Coefficient.
Introduction to the t-Test for Independent Samples. As such, I could not work through the practice problems referencing that data set. The book concludes with a statistical software sampler and a description of the best Internet sites for statistical information and data resources. Basic concepts repeated throughout each chapter so there isn't need to flip back and forth to review a concept and its application. The Microsoft Excel material in this text is also top notch.
Icons, tip boxes, further readings, and the famous Difficulty Rating Scale and Top Ten lists help students put concepts into practice. Communication Arts Dept, Lee University. See the Power and Value of the Interactive eBook Your students save when you bundle the print version with the interactive eBook version. All that is to say that I was This book was a portion of the required reading for a class on quantitative research. Clearly explains statistical tests in a straight forward manner, making stats more accessible to undergraduate students.
How About Studying Statistics in Stockholm. This text was great and now the only thing I'll use to teach statistics! Math, and especially statistics, have been beyond the scope of my thinking for some time. Written for people who want to learn or brush-up on the basics of statistics but question their abilities, sound forge 10 keygen this book offers a step-by-step introduction to the topic. Creating a Scatterplot or Scattergram or Whatever.
The answers to Time to Practice questions are now in a separate appendix Appendix D. There are no discussion topics on this book yet. Salkind breaks difficult concepts into interesting and funny bites.
It's a lot easier to read than most textbooks. Salkind's text disarms many of the fears with the title and the humorous dialogue, the use of emoticons, and cartoons throughout the text. This is my professors attempt at humor I am sure. This is for a doctoral class I'm taking so not a pleasure read but the concepts in this book make stats manageable! The Interval Level of Measurement.
Repeated Measures Analysis of Variance. Computing the Standard Deviation. Well organized for statistics.
This book is amazing-I used it as a student and I'm now happy to pass the new edition on to my students. Other Cool Ways to Chart Data. Causes and Associations Again! Introduction to Factorial Analysis of Variance.
Statistics for People Who (Think They) Hate Statistics by Neil J. Salkind
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