000			03662nam a2200421 i 4500
001			OTLid0000135
003			MnU
005			20241120064008.0
006			m o d s
007			cr
008			180907s2012 mnu o 0 0 eng d
020			_a9781453344873
040			_aMnU _beng _cMnU
050		4	_aQA1
050		4	_aQA37.3
050		4	_aQA273-280
100	1		_aShafer, Douglas S. _eauthor
245	0	0	_aIntroductory Statistics _cDouglas Shafer
264		2	_aMinneapolis, MN _bOpen Textbook Library
264		1	_a[Place of publication not identified] _bSaylor Foundation _c[2012]
264		4	_c©2012.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	0		_aOpen textbook library.
505	0		_aChapter 1: Introduction -- Chapter 2: Descriptive Statistics -- Chapter 3: Basic Concepts of Probability -- Chapter 4: Discrete Random Variables -- Chapter 5: Continuous Random Variables -- Chapter 6: Sampling Distributions -- Chapter 7: Estimation -- Chapter 8: Testing Hypotheses -- Chapter 9: Two-Sample Problems -- Chapter 10: Correlation and Regression -- Chapter 11: Chi-Square Tests and F-Tests
520	0		_aIn many introductory level courses today, teachers are challenged with the task of fitting in all of the core concepts of the course in a limited period of time. The Introductory Statistics teacher is no stranger to this challenge. To add to the difficulty, many textbooks contain an overabundance of material, which not only results in the need for further streamlining, but also in intimidated students. Shafer and Zhang wrote Introductory Statistics by using their vast teaching experience to present a complete look at introductory statistics topics while keeping in mind a realistic expectation with respect to course duration and students' maturity level. Over time the core content of this course has developed into a well-defined body of material that is substantial for a one-semester course. Shafer and Zhang believe that the students in this course are best served by a focus on that core material and not by an exposure to a plethora of peripheral topics. Therefore in writing Introduction to Statistics they have sought to present only the core concepts and use a wide-ranging set of exercises for each concept to drive comprehension. As a result Introduction to Statistics is a smaller and less intimidating textbook that trades some extended and unnecessary topics for a better-focused presentation of the central material. You will not only appreciate the depth and breadth of exercises in Introduction to Statistics, but you will also like the close attention to detail that Shafer and Zhang have paid to the student and instructor solutions manuals. This is one of few books on the market where the textbook authors have written the solutions manuals to maintain the integrity of the material. In addition, in order to facilitate the use of technology with the book the authors included “large data set exercises,” where appropriate, that refer to large data sets that are available on the web, and for which use of statistical software is necessary.
542	1		_fAttribution-NonCommercial-ShareAlike
546			_aIn English.
588	0		_aDescription based on online resource
650		0	_aMathematics _vTextbooks
650		0	_aApplied mathematics _vTextbooks
650		0	_aStatistics _vTextbooks
700	1		_aZhang, Zhiyi _eauthor
710	2		_aOpen Textbook Library _edistributor
856	4	0	_uhttps://open.umn.edu/opentextbooks/textbooks/135 _zAccess online version
999			_c38423 _d38423