Introductory Statistics: A Conceptual Approach Using RThis comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences. A conceptual approach, built around common issues and problems rather than statistical techniques, allows students to understand the conceptual nature of statistical procedures and to focus more on cases and examples of analysis. Wherever possible, presentations contain explanations of the underlying reasons behind a technique. Importantly, this is one of the first statistics texts in the social sciences using R as the principal statistical package. Key features include the following.

What people are saying  Write a review
We haven't found any reviews in the usual places.
Contents
Patr II Descriptive Statistics  27 
Part III The Fundamentals of Statistical Inference  191 
Part IV Statistical Inference  253 
Part V kSample Tests  383 
Appendix AStatistical Tables  447 
Appendix BAn Introduction to R  478 
488  
496  
Other editions  View all
Introductory Statistics: A Conceptual Approach Using R William B. Ware,John M. Ferron,Barbara Manning Miller No preview available  2013 
Common terms and phrases
African American African American students analysis ANOVA approach assumptions binomial bivariate book website bootstrap box plot calculate categorical variables central tendency chapter comparisons confidence interval consider construct correlation coefficient critical values defined dependent variable depicted describe descriptive statistics equal Equation estimate example expected value Father’s females Figure formula frequency distribution function grouped frequency distribution histogram independent kindergarten kurtosis linear look males mathematical measures median methods Mother’s Educational Level normal distribution null hypothesis observed obtain outcomes pvalue p—value percentile rank permutations population possible predicted presented probability distribution procedures proportion quantitative variables random sample random variable relationship resampling sample means sample sizes sampling distribution scale scatterplot scores for White script set of scores simple events simulation situation skewness and kurtosis standard deviation ttest Table test statistic tion transformation Type I error variance White and African White students wkdaded zscores zero