000			03420nam a2200253Ia 4500
001			306651
005			20170223064026.0
008			110527s2012 caua b 001 0 eng
010			_a 2011020538
020			_a9781412991322 (pbk.)
040			_aDLC _cDLC _dDLC
042			_apcc
050	0	0	_aHA29 _b.S954 2012
082	0	0	_a005.5/5 _223
100	1		_aSzafran, Robert F. _9282199 _2Local
245	1	0	_aAnswering questions with statistics _cRobert Frank Szafran.
260			_aThousand Oaks _bSage Publications, Inc _c2012.
300			_axxv, 429 p. _bill. _c24 cm.
520			_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.
504			_aIncludes bibliographical references and index.
505	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.
610	2	0	_aSPSS Computer file _9173531 _2Local
650		0	_9171848 _aSocial sciences _xStatistical methods. _2Local
999			_c224990 _d224990