Statistics without tears: a primer for nonmathematiciansExplains the basic concepts of statistics, including sampling, distribution, significance, and common statistical relationships 
What people are saying  Write a review
User ratings
5 stars 
 
4 stars 
 
3 stars 
 
2 stars 
 
1 star 

Review: Statistics Without Tears: An Introduction for NonMathematicians
User Review  Jessy Hancock  GoodreadsThis is a wonderful little companion for an introductory statistics class, my only qualm is it goes from calling scatter diagrams 'dot diagrams' to suddenly trying to explain chisquares using only ... Read full review
Review: Statistics Without Tears: An Introduction for NonMathematicians
User Review  GoodreadsThis is a wonderful little companion for an introductory statistics class, my only qualm is it goes from calling scatter diagrams 'dot diagrams' to suddenly trying to explain chisquares using only ... Read full review
Contents
Introduction  9 
Describing our sample  28 
Summarizing our data  38 
Copyright  
7 other sections not shown
Common terms and phrases
50 students alternative hypothesis analysis of variance average beats per minute bicycle bigger bloodpressures calculated categoryvariables central tendency chance chapter confidence interval correlation coefficient coursework mark differences between means different populations dotdiagram dots drug estimate exam marks example expect fdistribution fact feet female mean ference figures frequency heights inferences instance larger less look male malemeans mean score meanA median method mode 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 represent researcher righthand tail Smean sample of 100 sampleSD 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