000			04622nam a2200313 a 4500
005			20250930134355.0
008			130402s2012 caua b 001 0 eng
020			_a9781412991322 (pbk.) _cRM222.20
039		9	_a201309101115 _bzabidah _c201306191117 _dzabidah _c201306120921 _drahah _y04-02-2013 _zrahah
040			_aDLC _cDLC _dDLC _dUKM
090			_aHA29.S98
090			_aHA29 _b.S98
100	1		_aSzafran, Robert F.
245	1	0	_aAnswering questions with statistics / _cRobert Frank Szafran.
260			_aThousand Oaks, CA. : _bSage Publications, Inc, _c2012.
300			_axxv, 429 p. : _bill. ; _c24 cm.
504			_aIncludes bibliographical references and index.
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 àquestions 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'-- _cProvided by publisher.
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'-- _cProvided by publisher.
610	2	0	_aSPSS (Computer file)
650		0	_aSocial sciences _xStatistical methods. _960875
907			_a.b15608384 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kHA29.S98
914			_avtls003527030
990			_aza
991			_aSains Forensik
998			_at _b2013-02-04 _cm _da _feng _gcau _y0 _z.b15608384
999			_c543657 _d543657