Principles of managerial statistics and data science. (2020)

• Record Type: Book
• Further Information: Note: Roberto Rivera.
• Authors: (Associate professor), Rivera, Roberto
• Contents: Preface xv Acknowledgments xvii Acronyms xix About the Companion Site xxi Principles of Managerial Statistics and Data Science xxiii 1 Statistics Suck; So Why Do I Need to Learn About It? 1 1.1 Introduction 1 Practice Problems 4 1.2 Data-Based Decision Making: Some Applications 5 1.3 Statistics Defined 9 1.4 Use of Technology and the New Buzzwords: Data Science, Data Analytics, and Big Data 11 1.4.1 A Quick Look at Data Science: Some Definitions 11 Chapter Problems 14 Further Reading 14 2 Concepts in Statistics 15 2.1 Introduction 15 Practice Problems 17 2.2 Type of Data 19 Practice Problems 20 2.3 Four Important Notions in Statistics 22 Practice Problems 24 2.4 Sampling Methods 25 2.4.1 Probability Sampling 25 2.4.2 Nonprobability Sampling 27 Practice Problems 30 2.5 Data Management 31 2.5.1 A Quick Look at Data Science: Data Wrangling Baltimore Housing Variables 34 2.6 Proposing a Statistical Study 36 Chapter Problems 37 Further Reading 39 3 Data Visualization 41 3.1 Introduction 41 3.2 Visualization Methods for Categorical Variables 41 Practice Problems 46 3.3 Visualization Methods for Numerical Variables 50 Practice Problems 56 3.4 Visualizing Summaries of More than Two Variables Simultaneously 59 3.4.1 A Quick Look at Data Science: Does Race Affect the Chances of a Driver Being Searched During a Vehicle Stop in San Diego? 66 Practice Problems 69 3.5 Novel Data Visualization 75 3.5.1 A Quick Look at Data Science: Visualizing Association Between Baltimore Housing Variables Over 14 Years 78 Chapter Problems 81 Further Reading 96 4 Descriptive Statistics 97 4.1 Introduction 97 4.2 Measures of Centrality 99 Practice Problems 108 4.3 Measures of Dispersion 111 Practice Problems 115 4.4 Percentiles 116 4.4.1 Quartiles 117 Practice Problems 122 4.5 Measuring the Association Between Two Variables 124 Practice Problems 128 4.6 Sample Proportion and Other Numerical Statistics 130 4.6.1 A Quick Look at Data Science: Murder Rates in Los Angeles 131 4.7 How to Use Descriptive Statistics 132 Chapter Problems 133 Further Reading 139 5 Introduction to Probability 141 5.1 Introduction 141 5.2 Preliminaries 142 Practice Problems 144 5.3 The Probability of an Event 145 Practice Problems 148 5.4 Rules and Properties of Probabilities 149 Practice Problems 152 5.5 Conditional Probability and Independent Events 154 Practice Problems 159 5.6 Empirical Probabilities 161 5.6.1 A Quick Look at Data Science: Missing People Reports in Boston by Day of Week 164 Practice Problems 165 5.7 Counting Outcomes 168 Practice Problems 171 Chapter Problems 171 Further Reading 175 6 Discrete Random Variables 177 6.1 Introduction 177 6.2 General Properties 178 6.2.1 A Quick Look at Data Science: Number of Stroke Emergency Calls in Manhattan 183 Practice Problems 184 6.3 Properties of Expected Value and Variance 186 Practice Problems 189 6.4 Bernoulli and Binomial Random Variables 190 Practice Problems 197 6.5 Poisson Distribution 198 Practice Problems 201 6.6 Optional: Other Useful Probability Distributions 203 Chapter Problems 205 Further Reading 208 7 Continuous Random Variables 209 7.1 Introduction 209 Practice Problems 211 7.2 The Uniform Probability Distribution 211 Practice Problems 215 7.3 The Normal Distribution 216 Practice Problems 225 7.4 Probabilities for Any Normally Distributed Random Variable 227 7.4.1 A Quick Look at Data Science: Normal Distribution, A Good Match for University of Puerto Rico SATs? 229 Practice Problems 231 7.5 Approximating the Binomial Distribution 234 Practice Problems 236 7.6 Exponential Distribution 236 Practice Problems 238 Chapter Problems 239 Further Reading 242 8 Properties of Sample Statistics 243 8.1 Introduction 243 8.2 Expected Value and Standard Deviation of x̄ 244 Practice Problems 246 8.3 Sampling Distribution of x̄ When Sample Comes From a Normal Distribution 247 Practice Problems 251 8.4 Central Limit Theorem 252 8.4.1 A Quick Look at Data Science: Bacteria at New York City Beaches 257 Practice Problems 259 8.5 Other Properties of Estimators 261 Chapter Problems 264 Further Reading 267 9 Interval Estimation for One Population Parameter 269 9.1 Introduction 269 9.2 Intuition of a Two-Sided Confidence Interval 270 9.3 Confidence Interval for the Population Mean: '� Known 271 Practice Problems 276 9.4 Determining Sample Size for a Confidence Interval for '� 278 Practice Problems 279 9.5 Confidence Interval for the Population Mean: '� Unknown 279 Practice Problems 284 9.6 Confidence Interval for '� 286 Practice Problems 287 9.7 Determining Sample Size for '� Confidence Interval 288 Practice Problems 290 9.8 Optional: Confidence Interval for '� 290 9.8.1 A Quick Look at Data Science: A Confidence Interval for the Standard Deviation of Walking Scores in Baltimore 292 Chapter Problems 293 Further Reading 296 10 Hypothesis Testing for One Population 297 10.1 Introduction 297 10.2 Basics of Hypothesis Testing 299 10.3 Steps to Perform a Hypothesis Test 304 Practice Problems 305 10.4 Inference on the Population Mean: Known Standard Deviation 306 Practice Problems 318 10.5 Hypothesis Testing for the Mean ('� Unknown) 323 Practice Problems 327 10.6 Hypothesis Testing for the Population Proportion 329 10.6.1 A Quick Look at Data Science: Proportion of New York City High Schools with a Mean SAT Score of 1498 or More 333 Practice Problems 334 10.7 Hypothesis Testing for the Population Variance 337 10.8 More on the p -Value and Final Remarks 338 10.8.1 Misunderstanding the p -Value 339 Chapter Problems 343 Further Reading 347 11 Statistical Inference to Compare Parameters from Two Populations 349 11.1 Introduction 349 11.2 Inference on Two Population Means 350 11.3 Inference on Two Population Means – Independent Samples, Variances Known 351 Practice Problems 357 11.4 Inference on Two Population Means When Two Independent Samples are Used – Unknown Variances 360 11.4.1 A Quick Look at Data Science: Suicide Rates Among Asian Men and Women in New York City 364 Practice Problems 366 11.5 Inference on Two Means Using Two Dependent Samples 368 Practice Problems 370 11.6 Inference on Two Population Proportions 371 Practice Problems 374 Chapter Problems 375 References 378 Further Readi
• Edition: 1st
• Publisher Details: Hoboken, New Jersey : John Wiley & Sons, Inc
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 519.5; Management -- Statistical methods; Mathematical statistics; Statistical decision; Data mining; Big data
• Languages: English
• ISBNs: 9781119486497
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.