Intended for the one semester general statistics course, this text emphasizes statistical thinking. It introduces topics of data collection including observations, experiments, and surveys.
McClave & Sincich's Statistics: A First Course in Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout.
This updated classic text will aid readers in understanding much of the current literature on order statistics: a flourishing field of study that is essential for any practising statistician and a vital part of the training for students in ...
A First Course in Statistics
This book will be invaluable to first- year students in statistics as well as to students from other disciplines on courses with a 'statistics module'.
The main difference between this text and many others is that an attempt is made here to present material in a rather relaxed and informal way without omitting important concepts.
This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements.
First Course in Statistics
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis.
Variation; Aggregates; Measures of location; Measures of dispersion; Methods of computation; Skewness and kurtosis; Probability: populations and sample; Sampling: normal population; Tests of significance: the mean; Tests of signigicance: ...
Durbin, I., & Watson, G. S. (1971). Testing for serial correlation in least squares regression, III. Biometrika, 58, 1—19. Elashoff, I. D. (1969). Analysis of covariance: A delicate instrument. American Educational Research Iournal, 6, ...