Basic Statistics: An Introduction with R
Rowman & Littlefield Publishers, Oct 4, 2012 - Education - 344 pages
Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art, powerful software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using R.
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alternative hypothesis ANOVA associated assumption available sample behavioral and social binomial distribution boxplot chapter chi-square distribution college aspiration command conﬁdence level considered correlation coefﬁcient data set deﬁned deﬁnition degrees of freedom denoted discussion earlier estimate example F-ratio factor ﬁle ﬁnd ﬁnding ﬁrst ﬁt ﬁtted gender given sample GLIM GPA score graph Hence hypothesis testing linear relationship Marcoulides measure median MRA model normal distribution null hypothesis H0 observed obtain one-tailed outcome output p-value particular percentile plot population mean predictors probability question R2 index random sample random variable referred regression analysis regression model rejection region residuals response variable result Roussas sample average sample mean signiﬁcance level SLR model 12.1 Speciﬁcally standard deviation standard normal statistical hypothesis testing studied population studied variable sufﬁcient t-distribution t-test test score test statistic testing the null tion Type I error z-scores zero