03365nam a2200241Ia 450000100070000000500170000700800410002401000170006502000250008204000180010704200080012505000210013308200160015410000300017024500630020026000490026330000300031252017960034250400510213850508550218961000300304465000490307430665120170223064026.0110527s2012    caua     b    001 0 eng    a  2011020538  a9781412991322 (pbk.)  aDLCcDLCdDLC  apcc00aHA29b.S954 201200a005.5/52231 aSzafran, Robert F.2Local10aAnswering questions with statisticscRobert Frank Szafran.  aThousand OaksbSage Publications, Incc2012.  axxv, 429 p.bill.c24 cm.  a"The book is divided into three Parts: Part One has chapters that introduce data analysis and SPSS; Part Two contains eight chapters on descriptive statistics that begin with frequency tables and go through multiple regression; and Part Three includes six chapters on inferential statistics. Part One: Getting Started begins by answering some questions most students have right at the start © questions like why study data analysis and how much math and computer knowledge is required? Essential concepts from research methods relevant for data analysis are also explained. Part Two: Descriptive Statistics: Answering Questions about Your Data demonstrates procedures to use when the analyst is only concerned with describing the cases for which he or she actually has data. Statistics summarizing single variables (univariate statistics) are presented first and then statistics summarizing relationships between variables (multivariate statistics). Frequency tables, measures of central tendency, measures of dispersion, crosstabs, measures of association, subgroup means, and regression are all covered as are bar charts, pie charts, histograms, and clustered bar charts. Part Three: Inferential Statistics: Answering Questions about Populations explains procedures which allow the analyst to draw conclusions about the population from which his or her sample of cases was randomly selected. It begins with a simple chapter on the statistical theory behind inferential statistics. A four-step approach to hypothesis testing is introduced in the next chapter and demonstrated with one-sample t test hypotheses. The remaining chapters present different types of hypothesis tests including paired-samples, independent-samples, one and two-way ANOVA, and chi-square"--zProvided by publisher.  aIncludes bibliographical references and index.8 aMachine generated contents note: Part 1. Getting StartedChapter 1. IntroductionChapter 2. Data SetsPart 2. Descriptive Statistics: Answering Questions about Your DataChapter 3. Frequency Tables and Univariate ChartsChapter 4. Central Tendency and DispersionChapter 5. Creating New VariablesChapter 6. Comparing Group MeansChapter 7. Crosstab TablesChapter 8. Nominal and Ordinal Measures of AssociationChapter 9. Pearson's Correlation and Bivariate RegressionChapter 10. Multiple RegressionPart 3. Inferential Statistics: Answering Questions about PopulationsChapter 11. Sampling Distributions and Normal DistributionsChapter 12. Hypothesis Testing and One-Sample t TestsChapter 13. Paired and Independent-Samples t TestsChapter 14. Analysis of VarianceChapter 15. Chi-SquareChapter 16. Hypothesis Testing with Measures of Association and Regression.20aSPSS Computer file2Local 0aSocial sciencesxStatistical methods.2Local