{"product_id":"a-guide-to-business-statistics-paperback-softback-9781119138358","title":"A Guide to Business Statistics (Paperback \/ softback) 9781119138358","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eA Guide to Business Statistics\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eDavid M. McEvoy (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119138358, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 25 May 2018\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e208 pages\u003cbr\u003e22.6 x 14.7 x 1.5 cm, 0.34 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eAn accessible text that explains fundamental concepts in business statistics that are often obscured by formulae and mathematical notation\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eA Guide to Business Statistics\u003c\/i\u003e offers a practical approach to statistics that covers the fundamental concepts in business and economics. The book maintains the level of rigor of a more conventional textbook in business statistics but uses a more stream­lined and intuitive approach. In short, A Guide to Business Statistics provides clarity to the typical statistics textbook cluttered with notation and formulae.\u003c\/p\u003e \u003cp\u003eThe author—an expert in the field—offers concise and straightforward explanations to the core principles and techniques in business statistics. The concepts are intro­duced through examples, and the text is designed to be accessible to readers with a variety of backgrounds. To enhance learning, most of the mathematical formulae and notation appears in technical appendices at the end of each chapter. This important resource:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eOffers a comprehensive guide to understanding business statistics targeting business and economics students and professionals\u003c\/li\u003e \u003cli\u003eIntroduces the concepts and techniques through concise and intuitive examples\u003c\/li\u003e \u003cli\u003eFocuses on understanding by moving distracting formulae and mathematical notation to appendices\u003c\/li\u003e \u003cli\u003eOffers intuition, insights, humor, and practical advice for students of business statistics\u003c\/li\u003e \u003cli\u003eFeatures coverage of sampling techniques, descriptive statistics, probability, sampling distributions, confidence intervals, hypothesis tests, and regression\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWritten for undergraduate business students, business and economics majors, teachers, and practitioners, \u003ci\u003eA Guide to Business Statistics\u003c\/i\u003e offers an accessible guide to the key concepts and fundamental principles in statistics.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Types of Data 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Categorical Data 2\u003c\/p\u003e \u003cp\u003e1.2 Numerical Data 3\u003c\/p\u003e \u003cp\u003e1.3 Level of Measurement 4\u003c\/p\u003e \u003cp\u003e1.4 Cross-Sectional, Time-Series, and Panel Data 5\u003c\/p\u003e \u003cp\u003e1.5 Summary 7\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Populations and Samples 9\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 What is the Population of Interest? 10\u003c\/p\u003e \u003cp\u003e2.2 How to Sample From a Population? 11\u003c\/p\u003e \u003cp\u003e2.2.1 Simple Random Sampling 11\u003c\/p\u003e \u003cp\u003e2.2.2 Stratified Sampling 14\u003c\/p\u003e \u003cp\u003e2.2.3 Other Methods 15\u003c\/p\u003e \u003cp\u003e2.3 Getting the Data 16\u003c\/p\u003e \u003cp\u003e2.4 Summary 17\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Descriptive Statistics 19\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Measures of Central Tendency 20\u003c\/p\u003e \u003cp\u003e3.1.1 The Mean 20\u003c\/p\u003e \u003cp\u003e3.1.2 The Median 23\u003c\/p\u003e \u003cp\u003e3.1.3 The Mode 24\u003c\/p\u003e \u003cp\u003e3.2 Measures of Variability 24\u003c\/p\u003e \u003cp\u003e3.2.1 Variance and Standard Deviation 24\u003c\/p\u003e \u003cp\u003e3.3 The Shape 26\u003c\/p\u003e \u003cp\u003e3.4 Summary 28\u003c\/p\u003e \u003cp\u003eTechnical Appendix 29\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Probability 31\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Simple Probabilities 32\u003c\/p\u003e \u003cp\u003e4.1.1 When to Add Probabilities Together 34\u003c\/p\u003e \u003cp\u003e4.1.2 When to Find Intersections 36\u003c\/p\u003e \u003cp\u003e4.2 Empirical Probabilities 37\u003c\/p\u003e \u003cp\u003e4.3 Conditional Probabilities 39\u003c\/p\u003e \u003cp\u003e4.4 Summary 41\u003c\/p\u003e \u003cp\u003eTechnical Appendix 42\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 The Normal Distribution 43\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 The Bell Shape 43\u003c\/p\u003e \u003cp\u003e5.2 The Empirical Rule 44\u003c\/p\u003e \u003cp\u003e5.3 Standard Normal Distribution 46\u003c\/p\u003e \u003cp\u003e5.3.1 Probabilities with Continuous Distributions 48\u003c\/p\u003e \u003cp\u003e5.3.2 Verifying the Empirical Rule Using the \u003ci\u003ez\u003c\/i\u003e-table 48\u003c\/p\u003e \u003cp\u003e5.4 Normal Approximations 48\u003c\/p\u003e \u003cp\u003e5.4.1 Mean 49\u003c\/p\u003e \u003cp\u003e5.4.2 Standard deviation 49\u003c\/p\u003e \u003cp\u003e5.4.3 Shape 50\u003c\/p\u003e \u003cp\u003e5.5 Summary 51\u003c\/p\u003e \u003cp\u003eTechnical Appendix 52\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Sampling Distributions 55\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Defining a Sampling Distribution 55\u003c\/p\u003e \u003cp\u003e6.2 The Importance of Sampling Distributions 56\u003c\/p\u003e \u003cp\u003e6.3 An Example of a Sampling Distribution 57\u003c\/p\u003e \u003cp\u003e6.4 Characteristics of a Sampling Distribution of a Mean 61\u003c\/p\u003e \u003cp\u003e6.4.1 The Mean 61\u003c\/p\u003e \u003cp\u003e6.4.2 The Shape 62\u003c\/p\u003e \u003cp\u003e6.4.3 The Standard Deviation 64\u003c\/p\u003e \u003cp\u003e6.4.4 Finding Probabilities With a Sampling Distribution 65\u003c\/p\u003e \u003cp\u003e6.5 Sampling Distribution of a Proportion 67\u003c\/p\u003e \u003cp\u003e6.5.1 The Mean 68\u003c\/p\u003e \u003cp\u003e6.5.2 The Shape 68\u003c\/p\u003e \u003cp\u003e6.5.3 The Standard Deviation 68\u003c\/p\u003e \u003cp\u003e6.6 Summary 70\u003c\/p\u003e \u003cp\u003eTechnical Appendix 71\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Confidence Intervals 73\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Confidence Intervals for Means 74\u003c\/p\u003e \u003cp\u003e7.1.1 The Characteristics of the Sampling Distribution 75\u003c\/p\u003e \u003cp\u003e7.1.2 Confidence Intervals Using the \u003ci\u003ez\u003c\/i\u003e-Distribution 76\u003c\/p\u003e \u003cp\u003e7.1.3 Confidence Intervals Using the \u003ci\u003et\u003c\/i\u003e-Distribution 78\u003c\/p\u003e \u003cp\u003e7.2 Confidence Intervals for Proportions 80\u003c\/p\u003e \u003cp\u003e7.3 Sample Size and the Width of Confidence Intervals 81\u003c\/p\u003e \u003cp\u003e7.4 Comparing Two Proportions From the Same Poll 82\u003c\/p\u003e \u003cp\u003e7.5 Summary 84\u003c\/p\u003e \u003cp\u003eTechnical Appendix 85\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Hypothesis Tests of a Population Mean 89\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Two-Tail Hypothesis Test of a Mean 90\u003c\/p\u003e \u003cp\u003e8.1.1 A Single Sample from a Population 90\u003c\/p\u003e \u003cp\u003e8.1.2 Setting Up the Null and Alternative Hypothesis 92\u003c\/p\u003e \u003cp\u003e8.1.3 Decisions and Errors 92\u003c\/p\u003e \u003cp\u003e8.1.4 Rejection Regions and Conclusions 94\u003c\/p\u003e \u003cp\u003e8.1.5 Changing the Level of Significance 95\u003c\/p\u003e \u003cp\u003e8.2 One-Tail Hypothesis Test of a Mean 97\u003c\/p\u003e \u003cp\u003e8.2.1 Setting Up the Null and Alternative Hypotheses 97\u003c\/p\u003e \u003cp\u003e8.2.2 Rejection Regions and Conclusions 98\u003c\/p\u003e \u003cp\u003e8.3 \u003ci\u003ep\u003c\/i\u003e-Value Approach to Hypothesis Tests 99\u003c\/p\u003e \u003cp\u003e8.3.1 One-Tail Tests 99\u003c\/p\u003e \u003cp\u003e8.3.2 Two-tail tests 100\u003c\/p\u003e \u003cp\u003e8.4 Summary 100\u003c\/p\u003e \u003cp\u003eTechnical Appendix 101\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Hypothesis Tests of Categorical Data 103\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Two-Tail Hypothesis Test of a Proportion 104\u003c\/p\u003e \u003cp\u003e9.1.1 A Single Sample from a Population 104\u003c\/p\u003e \u003cp\u003e9.1.2 Rejection Regions and Conclusions 106\u003c\/p\u003e \u003cp\u003e9.2 One-Tail Hypothesis Test of a Proportion 107\u003c\/p\u003e \u003cp\u003e9.3 Using \u003ci\u003ep\u003c\/i\u003e-Values 108\u003c\/p\u003e \u003cp\u003e9.3.1 One-Tail Tests Using the \u003ci\u003ep\u003c\/i\u003e-Value 108\u003c\/p\u003e \u003cp\u003e9.3.2 Two-Tail Tests Using the \u003ci\u003ep\u003c\/i\u003e-Value 108\u003c\/p\u003e \u003cp\u003e9.4 Chi-Square Tests 109\u003c\/p\u003e \u003cp\u003e9.4.1 The Data in a Contingency Table 109\u003c\/p\u003e \u003cp\u003e9.4.2 Chi-Square Test of Goodness of Fit 111\u003c\/p\u003e \u003cp\u003e9.5 Summary 114\u003c\/p\u003e \u003cp\u003eTechnical Appendix 115\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Hypothesis Tests Comparing Two Parameters 117\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 The Approach in this Chapter 118\u003c\/p\u003e \u003cp\u003e10.2 Hypothesis Tests of Two Means 118\u003c\/p\u003e \u003cp\u003e10.2.1 The Null and Alternative Hypothesis 118\u003c\/p\u003e \u003cp\u003e10.2.2 \u003ci\u003et\u003c\/i\u003e-Test Assuming Equal Variances 121\u003c\/p\u003e \u003cp\u003e10.2.3 \u003ci\u003et\u003c\/i\u003e-Test Assuming Unequal Variances 122\u003c\/p\u003e \u003cp\u003e10.2.4 One-Tail Hypothesis Tests of Two Means 124\u003c\/p\u003e \u003cp\u003e10.2.5 A Note on Hypothesis Tests Using Paired Observations 124\u003c\/p\u003e \u003cp\u003e10.3 Hypothesis Tests of Two Variances 126\u003c\/p\u003e \u003cp\u003e10.4 Hypothesis Tests of Two Proportions 128\u003c\/p\u003e \u003cp\u003e10.5 Summary 130\u003c\/p\u003e \u003cp\u003eTechnical Appendix 131\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Simple Linear Regression 133\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 The Population Regression Model 134\u003c\/p\u003e \u003cp\u003e11.2 A Look at the Data 135\u003c\/p\u003e \u003cp\u003e11.3 Ordinary Least Squares (OLS) 137\u003c\/p\u003e \u003cp\u003e11.4 The Distribution of \u003ci\u003eb\u003c\/i\u003e\u003csub\u003e0\u003c\/sub\u003e and \u003ci\u003eb\u003c\/i\u003e\u003csub\u003e1\u003c\/sub\u003e 139\u003c\/p\u003e \u003cp\u003e11.5 Tests of Significance 140\u003c\/p\u003e \u003cp\u003e11.6 Goodness of Fit 142\u003c\/p\u003e \u003cp\u003e11.7 Checking for Violations of the Assumptions 143\u003c\/p\u003e \u003cp\u003e11.7.1 The Normality Assumption 143\u003c\/p\u003e \u003cp\u003e11.7.2 The Constant Variance Assumption 144\u003c\/p\u003e \u003cp\u003e11.8 Summary 146\u003c\/p\u003e \u003cp\u003eTechnical Appendix 147\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Multiple Regression 149\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Population Regression Model 149\u003c\/p\u003e \u003cp\u003e12.2 The Data 150\u003c\/p\u003e \u003cp\u003e12.3 Sample Regression Function 151\u003c\/p\u003e \u003cp\u003e12.4 Interpreting the Estimates 152\u003c\/p\u003e \u003cp\u003e12.4.1 Attendance 153\u003c\/p\u003e \u003cp\u003e12.4.2 SAT 153\u003c\/p\u003e \u003cp\u003e12.4.3 Hours Studying 153\u003c\/p\u003e \u003cp\u003e12.4.4 Logic Test 153\u003c\/p\u003e \u003cp\u003e12.4.5 Female 153\u003c\/p\u003e \u003cp\u003e12.4.6 Senior 154\u003c\/p\u003e \u003cp\u003e12.5 Prediction 154\u003c\/p\u003e \u003cp\u003e12.6 Tests of Significance 154\u003c\/p\u003e \u003cp\u003e12.6.1 Joint Hypothesis Test 155\u003c\/p\u003e \u003cp\u003e12.7 Goodness of Fit 156\u003c\/p\u003e \u003cp\u003e12.8 Multicollinearity 157\u003c\/p\u003e \u003cp\u003e12.8.1 Variance Inflation Factor (VIF) 157\u003c\/p\u003e \u003cp\u003e12.8.2 An Example of Violating the Assumption of no Multicollinearity 159\u003c\/p\u003e \u003cp\u003e12.9 Summary 162\u003c\/p\u003e \u003cp\u003eTechnical Appendix 163\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 More Topics in Regression 165\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Hypothesis Tests Comparing Two Means With Regression 165\u003c\/p\u003e \u003cp\u003e13.2 Hypothesis Tests Comparing More Than Two Means (ANOVA) 168\u003c\/p\u003e \u003cp\u003e13.3 Interacting Variables 170\u003c\/p\u003e \u003cp\u003e13.3.1 Gender Differences in Starting Wages 171\u003c\/p\u003e \u003cp\u003e13.3.2 Gender Differences in Wage Increase from Experience 172\u003c\/p\u003e \u003cp\u003e13.4 Nonlinearities 173\u003c\/p\u003e \u003cp\u003e13.5 Time-Series Analysis 175\u003c\/p\u003e \u003cp\u003e13.6 Summary 177\u003c\/p\u003e \u003cp\u003eIndex 179\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52174413824280,"sku":"9781119138358","price":38.29,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781119138358.jpg?v=1781174066","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/a-guide-to-business-statistics-paperback-softback-9781119138358","provider":"Freshly Printed Books","version":"1.0","type":"link"}