ABSTRACT

Written as a supplemental text for an introductory or intermediate statistics course, this book is organized along the lines of many popular statistics texts. The chapters provide a good conceptual understanding of basic statistics and include exercises that use S-PLUS simulation programs. Each chapter lists a set of objectives and a summary.

The book offers a rich insight into how probability has shaped statistical procedures in the behavioral sciences, as well as a brief history behind the creation of various statistics. Computational skills are kept to a minimum by including S-PLUS programs that run the exercises in the chapters. Students are not required to master the writing of S-PLUS programs, but explanations of how the programs work and program output are included in each chapter. S-PLUS is an advanced statistical package that has an extensive library of functions, which offer flexibility in writing customized routines.

The S-PLUS functions provide the capability of programming object and dialog windows, which are commonly used in Windows software applications. The S-PLUS program also contains pull-down menus for the statistical analysis of data.

A ZIP file containing programs that work in S-PLUS 6.2 for use with this book is available for download from https://www.psypress.com/resources/9780805836233.zip - please note that these scripts will only run in S-PLUS 6.2 and not later versions due to changes in the programming language syntax.

part I|2 pages

INTRODUCTION AND STATISTICAL THEORY

chapter 1|6 pages

STATISTICAL THEORY

chapter 2|6 pages

GENERATING RANDOM NUMBERS

chapter 3|9 pages

FREQUENCY DISTRIBUTIONS

chapter 4|8 pages

STEM AND LEAF PLOTS

chapter 5|6 pages

POPULATION DISTRIBUTIONS

chapter 6|6 pages

MEASURES OF CENTRAL TENDENCY

chapter 7|5 pages

MEASURES OF DISPERSION

chapter 8|6 pages

SAMPLE SIZE EFFECTS

chapter 9|8 pages

TCHEBYSHEFF INEQUALITY THEOREM

chapter 10|7 pages

NORMAL BELL-SHAPED CURVE

chapter 11|9 pages

PROBABILITY

chapter 12|5 pages

JOINT PROBABILITY

chapter 13|5 pages

ADDITION LAW OF PROBABILITY

chapter 14|4 pages

MULTIPLICATION LAW OF PROBABILITY

chapter 15|6 pages

CONDITIONAL PROBABILITY

chapter 16|7 pages

COMBINATIONS AND PERMUTATIONS

part III|2 pages

MONTE CARLO AND STATISTICAL DISTRIBUTIONS

chapter 17|8 pages

BINOMIAL DISTRIBUTION

chapter 18|8 pages

MONTE CARLO SIMULATION

chapter 19|6 pages

NORMAL DISTRIBUTION

chapter 20|9 pages

t DISTRIBUTION

chapter 21|7 pages

CHI-SQUARE DISTRIBUTION

chapter 22|8 pages

F DISTRIBUTION

part IV|2 pages

SAMPLING AND INFERENCE

chapter 23|6 pages

SAMPLING DISTRIBUTIONS

chapter 24|11 pages

CENTRAL LIMIT THEOREM

chapter 25|6 pages

CONFIDENCE INTERVALS

chapter 26|10 pages

HYPOTHESIS TESTING

chapter 27|8 pages

TYPE I ERROR

chapter 28|8 pages

TYPE II ERROR

chapter 29|10 pages

z TEST STATISTIC FOR PROPORTIONS

chapter 30|7 pages

CHI-SQUARE TEST STATISTIC

chapter 31|9 pages

t TEST FOR MEAN DIFFERENCES

chapter 32|11 pages

ANALYSIS OF VARIANCE

chapter 33|10 pages

CORRELATION

chapter 34|11 pages

LINEAR REGRESSION

part VI|2 pages

REPLICABILITY OF FINDINGS

chapter 35|7 pages

CROSS VALIDATION

chapter 36|7 pages

JACKKNIFE

chapter 37|6 pages

BOOTSTRAP

chapter 38|11 pages

META-ANALYSIS