Statistics without tears: a primer for nonmathematiciansThis book is written in the belief that the basic concepts of statistics can be learned without having to perform calculations. It provides an introduction to the main concepts and terminology of statistics, providing the student with the ideas of the subject before getting involved in the associated calculations. 
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Review: Statistics Without Tears: An Introduction for NonMathematicians
User Review  Aaron Chu  GoodreadsThe book makes statistic fun. While the book contains lots of concepts and theoretical explanation that are done clearly and, at time, humorously, mathematically demonstration are included where ... Read full review
Review: Statistics Without Tears: An Introduction for NonMathematicians
User Review  Oktava Bracelets  Goodreadsgood Read full review
Contents
Introduction  9 
Describing our sample  28 
Summarizing our data  38 
Copyright  
7 other sections not shown
Other editions  View all
Statistics Without Tears: An Introduction for Nonmathematicians Derek Rowntree No preview available  2000 
Common terms and phrases
50 students alternative hypothesis analysis of variance average beats per minute bicycle bigger calculated categoryvariables central tendency chance chapter confidence interval correlation coefficient coursework mark differences between means different populations distribution of samplemeans dotdiagram dots drug estimate exam marks example expect fact feet female mean ference figures frequency heights inferences instance larger less look malemeans mean score meanA median method mode nonparametric normal curve normal distribution null hypothesis number of observations observed values onetailed pairs of samples pairs of values percentage placebo populationmean possible predict probability proportion Pulserate beats quantityvariables random samples range real difference reject the null relationship researcher righthand tail Smean sample of 100 sampling distribution sampling variation scatter diagrams SEdiff side significance test significant difference skewed smaller standard deviation standard error suppose tail theory tion Type II error variable women ztest zero