000			03975nam a22003137i 4500
999			_c12007 _d12007
005			20210906091854.0
008			200217s2017 maua|||| |||| 00| 0 eng d
020			_a9781292161228
040			_aEG-NcFUE _erda
082	0	0	_223 _a519.5 _bG.R.E
100	1		_aGould, Robert, _d1965- _eauthor.
245	1	0	_aEssential statistics : _bexploring the world through data / _cRobert Gould, University of California, Los Angeles,Colleen Ryan, California Lutheran University, Rebecca Wong, West Valley College
250			_asecond edition.
264		1	_aBoston : _bPearson, _c[2017]
300			_a582 pages : _bcolor illustrations ; _c28 cm .
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
500			_aIncludes index
505	0		_a Cover -- Title Page -- Copyright Page -- Dedication -- About the Authors -- Contents -- Preface -- Acknowledgments -- Index of Applications -- Chapter 1: Introduction to Data -- Case Study: Deadly Cell Phones? -- 1.1. What Are Data? -- 1.2. Classifying and Storing Data -- 1.3. Organizing Categorical Data -- 1.4. Collecting Data to Understand Causality -- Exploring Statistics: Collecting a Table of Different Kinds of Data -- Chapter 2: Picturing Variation with Graphs -- Case Study: Student-to-Teacher Ratio at Colleges -- 2.1. Visualizing Variation in Numerical Data 2.2. Summarizing Important Features of a Numerical Distribution -- 2.3. Visualizing Variation in Categorical Variables -- 2.4. Summarizing Categorical Distributions -- 2.5. Interpreting Graphs -- Exploring Statistics: Personal Distance -- Chapter 3: Numerical Summaries of Center and Variation -- Case Study: Living in a Risky World -- 3.1. Summaries for Symmetric Distributions -- 3.2. What's Unusual? The Empirical Rule and z-Scores -- 3.3. Summaries for Skewed Distributions -- 3.4. Comparing Measures of Center -- 3.5. Using Boxplots for Displaying Summaries Exploring Statistics: Does Reaction Distance Depend on Gender? -- Chapter 4: Regression Analysis: Exploring Associations between Variables -- Case Study: Catching Meter Thieves -- 4.1. Visualizing Variability with a Scatterplot -- 4.2. Measuring Strength of Association with Correlation -- 4.3. Modeling Linear Trends -- 4.4. Evaluating the Linear Model -- Exploring Statistics: Guessing the Age of Famous People -- Chapter 5: Modeling Variation with Probability -- Case Study: SIDS or Murder? -- 5.1. What Is Randomness? -- 5.2. Finding Theoretical Probabilities 5.3. Associations in Categorical Variables -- 5.4. Finding Empirical Probabilities -- Exploring Statistics: Let's Make a Deal: Stay or Switch? -- Chapter 6: Modeling Random Events: The Normal and Binomial Models -- Case Study: You Sometimes Get More Than You Pay For -- 6.1. Probability Distributions Are Models of Random Experiments -- 6.2. The Normal Model -- 6.3. The Binomial Model (optional) -- Exploring Statistics: ESP with Coin Flipping -- Chapter 7: Survey Sampling and Inference -- Case Study: Spring Break Fever: Just What the Doctors Ordered? -- 7.1. Learning about the World through Surveys 7.2. Measuring the Quality of a Survey -- 7.3. The Central Limit Theorem for Sample Proportions -- 7.4. Estimating the Population Proportion with Confidence Intervals -- 7.5. Comparing Two Population Proportions with Confidence -- Exploring Statistics: Simple Random Sampling Prevents Bias -- Chapter 8: Hypothesis Testing for Population Proportions -- Case Study: Dodging the Question -- 8.1. The Essential Ingredients of Hypothesis Testing -- 8.2. Hypothesis Testing in Four Steps -- 8.3. Hypothesis Tests in Detail -- 8.4. Comparing Proportions from Two Populations
650		0	_aMathematical statistics
650		0	_aStatistics
650		7	_aMathematical statistics
650		7	_aStatistics
700	1		_aRyan, Colleen N. _eauthor.
700	1		_aWong, Rebecca _eauthor.
942			_2ddc _cBK