{"product_id":"essential-statistics-for-economics-business-and-management-9780470850794","title":"Essential Statistics for Economics Business and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eStatistics has evolved from methods of collecting and recording data to a science that plays a vital role in: decision-making; research; development of social and economic policy and planning; production strategies; management; and quality of goods and services.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eIntroduction\u003c\/b\u003e 1  \u003cp\u003e\u003cb\u003eCHAPTER 1: Data Collection and its Graphical Presentation\u003c\/b\u003e 5\u003c\/p\u003e \u003cp\u003e1.1 Introduction to statistics 6\u003c\/p\u003e \u003cp\u003e1.2 Data collection: Samples, surveys and experiments 8\u003c\/p\u003e \u003cp\u003e1.3 Some sources of statistical data 16\u003c\/p\u003e \u003cp\u003e1.4 Sorting and classifying data 18\u003c\/p\u003e \u003cp\u003e1.5 Charts: Bar charts, pie charts and plotting in Excel 23\u003c\/p\u003e \u003cp\u003e1.6 Graphs: Histograms and Ogives. Graphs in Excel 42\u003c\/p\u003e \u003cp\u003e1.7 Line and Lorenz graphs 52\u003c\/p\u003e \u003cp\u003e1.8 Misleading graphs 59\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCHAPTER 2: Descriptive Statistics\u003c\/b\u003e 63\u003c\/p\u003e \u003cp\u003e2.1 Summary statistics for raw data: Mean, quartiles and mode 64\u003c\/p\u003e \u003cp\u003e2.2 Summary statistics for grouped data: Mean, quartiles and mode 72\u003c\/p\u003e \u003cp\u003e2.3 Measures of dispersion for raw data. Variance, QD, IQR 85\u003c\/p\u003e \u003cp\u003e2.4 Measures of dispersion for grouped data. Variance, QD, IQR 92\u003c\/p\u003e \u003cp\u003e2.5 Use of calculator for descriptive statistics 94\u003c\/p\u003e \u003cp\u003e2.6 Other descriptive statistics. CV, skewness and box plots 96\u003c\/p\u003e \u003cp\u003e2.7 Descriptive statistics in Excel 101\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCHAPTER 3: Regression and Correlation: Introduction\u003c\/b\u003e 113\u003c\/p\u003e \u003cp\u003e3.1 Introduction to regression: Scatter plots and lines 114\u003c\/p\u003e \u003cp\u003e3.2 The least-squares line. Criteria and equation for the best fit line 118\u003c\/p\u003e \u003cp\u003e3.3 Excel: XY (scatter) plots, the least-squares lines and formulae 127\u003c\/p\u003e \u003cp\u003e3.4 Coefficient of determination and correlation 133\u003c\/p\u003e \u003cp\u003e3.5 Rank correlation. Calculate and interpret rank correlation 144\u003c\/p\u003e \u003cp\u003e3.6 Use the calculator for linear regression and correlation 146\u003c\/p\u003e \u003cp\u003e3.7 Why bother with formulae? 154\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCHAPTER 4: Probability\u003c\/b\u003e 159\u003c\/p\u003e \u003cp\u003e4.1 Introduction to probability 159\u003c\/p\u003e \u003cp\u003e4.2 Multiplication and addition rules for probability 170\u003c\/p\u003e \u003cp\u003e4.3 Joint, marginal and conditional probability 184\u003c\/p\u003e \u003cp\u003e4.4 Bayes' Rule 192\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCHAPTER 5: Introduction to Probability Distributions\u003c\/b\u003e 205\u003c\/p\u003e \u003cp\u003e5.1 Introduction to probability distributions and random variables 206\u003c\/p\u003e \u003cp\u003e5.2 The Binomial probability distribution 212\u003c\/p\u003e \u003cp\u003e5.3 The Poisson probability distribution 228\u003c\/p\u003e \u003cp\u003e5.4 The Normal probability distribution 236\u003c\/p\u003e \u003cp\u003e5.5 Expected values (mathematical expectation) 253\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCHAPTER 6: Sampling Distributions for Means and Proportions\u003c\/b\u003e 265\u003c\/p\u003e \u003cp\u003e6.1 Statistical inference and the sampling distribution of the mean 265\u003c\/p\u003e \u003cp\u003e6.2 Sampling distribution of proportions 275\u003c\/p\u003e \u003cp\u003e6.3 Some desirable properties of estimators 282\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCHAPTER 7: Confidence Intervals for Means and Proportions\u003c\/b\u003e 287\u003c\/p\u003e \u003cp\u003e7.1 Confidence intervals for the mean 287\u003c\/p\u003e \u003cp\u003e7.2 Confidence intervals for proportions 297\u003c\/p\u003e \u003cp\u003e7.3 The precision of confidence intervals for the mean 300\u003c\/p\u003e \u003cp\u003e7.4 Confidence intervals for differences between means and proportions 304\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCHAPTER 8: Tests of Hypothesis for Means and Proportions\u003c\/b\u003e 319\u003c\/p\u003e \u003cp\u003e8.1 Hypothesis tests for means 319\u003c\/p\u003e \u003cp\u003e8.2 Hypothesis tests for proportions 334\u003c\/p\u003e \u003cp\u003e8.3 Hypothesis tests for the difference between means and proportions 337\u003c\/p\u003e \u003cp\u003e8.4 Minitab and Excel for confidence intervals and tests of hypothesis 349\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCHAPTER 9: Inference from Small Samples. Confidence Intervals and Tests of Hypothesis\u003c\/b\u003e 359\u003c\/p\u003e \u003cp\u003e9.1 Inference from small samples: Normal populations, \u003ci\u003es\u003c\/i\u003e known 360\u003c\/p\u003e \u003cp\u003e9.2 The Student's \u003ci\u003et\u003c\/i\u003e distribution 362\u003c\/p\u003e \u003cp\u003e9.3 Inference from small samples: Normal populations, \u003ci\u003es\u003c\/i\u003e NOT known 365\u003c\/p\u003e \u003cp\u003e9.4 Difference between means. Small independent samples 370\u003c\/p\u003e \u003cp\u003e9.5 \u003ci\u003eF\u003c\/i\u003e-test for equality of two variances 378\u003c\/p\u003e \u003cp\u003e9.6 Difference between means, paired samples 382\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCHAPTER 10: Analysis of Variance\u003c\/b\u003e 393\u003c\/p\u003e \u003cp\u003e10.1 The rationale behind one-way analysis of variance 393\u003c\/p\u003e \u003cp\u003e10.2 One-way analysis of variance 397\u003c\/p\u003e \u003cp\u003e10.3 Two-way ANOVA 419\u003c\/p\u003e \u003cp\u003e10.4 ANOVA and design of experiment 430\u003c\/p\u003e \u003cp\u003e10.5 Excel and Minitab for ANOVA 435\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCHAPTER 11: Chi-squared Tests\u003c\/b\u003e 453\u003c\/p\u003e \u003cp\u003e11.1 Introduction 454\u003c\/p\u003e \u003cp\u003e11.2 The \u003ci\u003e?\u003c\/i\u003e2 probability distribution 454\u003c\/p\u003e \u003cp\u003e11.3 Contingency tables 455\u003c\/p\u003e \u003cp\u003e11.4 \u003ci\u003e?\u003c\/i\u003e2 tests for independence (no association) 456\u003c\/p\u003e \u003cp\u003e11.5 \u003ci\u003e?\u003c\/i\u003e2 test for homogeneous populations 464\u003c\/p\u003e \u003cp\u003e11.6 \u003ci\u003e?\u003c\/i\u003e2 tests for the equality of several proportions 466\u003c\/p\u003e \u003cp\u003e11.7 Goodness of fit tests 478\u003c\/p\u003e \u003cp\u003e11.8 \u003ci\u003e?\u003c\/i\u003e2 tests in Minitab and Excel 490\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCHAPTER 12: Regression Analysis\u003c\/b\u003e 499\u003c\/p\u003e \u003cp\u003e12.1 The simple linear regression model 499\u003c\/p\u003e \u003cp\u003e12.2 Inference about the population slope (rate of change) 504\u003c\/p\u003e \u003cp\u003e12.3 Confidence intervals and prediction intervals at \u003ci\u003ex\u003c\/i\u003e = \u003ci\u003ex\u003c\/i\u003e0 513\u003c\/p\u003e \u003cp\u003e12.4 Checks on the model assumptions based on residuals plots 518\u003c\/p\u003e \u003cp\u003e12.5 Regression analysis in Minitab and Excel 521\u003c\/p\u003e \u003cp\u003e12.6 Multiple regression 534\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX A: Technicalities and Conventions for Defining Class Intervals, Mid-Interval, Widths, Limits, Boundaries\u003c\/b\u003e 545\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX B: Formulae for Calculating the Quartiles for Grouped Data\u003c\/b\u003e 547\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX C: Outline of Derivation of Formulae (3.2) and (3.3) for the Slope and Intercept of the Least-Squares Line, \u003ci\u003eY\u003c\/i\u003e = \u003ci\u003ea\u003c\/i\u003e + \u003ci\u003ebX\u003c\/i\u003e\u003c\/b\u003e 549\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX D: Brief Review of the Mathematics for the Binomial\u003c\/b\u003e 551\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX E: The Number \u003ci\u003ee\u003c\/i\u003e\u003c\/b\u003e 555\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX F: Calculation of Mean and Variance of Proportions by Expected Values\u003c\/b\u003e 557\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX G: Confidence Intervals for Means and Proportions\u003c\/b\u003e 559\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX H: Degrees of Freedom\u003c\/b\u003e 561\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX I: Notes on Summations and Double Summations\u003c\/b\u003e 563\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX J: Expressing the Estimates of Variance as Sums of Squares Divided by Degrees of Freedom in Their Simplest Form\u003c\/b\u003e 567\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX K: Sums of Squares for the One-Way ANOVA\u003c\/b\u003e 571\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX L: Fitted Values and Residuals\u003c\/b\u003e 573\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX M: Sums of Squares Identity for Two-Way ANOVA\u003c\/b\u003e 575\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter Solutions\u003c\/b\u003e 577\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTables\u003c\/b\u003e 637\u003c\/p\u003e \u003cp\u003eTable 1 Cumulative Binomial Probability tables 637\u003c\/p\u003e \u003cp\u003eTable 2 Cumulative Poisson Probabilities 639\u003c\/p\u003e \u003cp\u003eTable 3 Normal probability Distribution 641\u003c\/p\u003e \u003cp\u003eTable 4 Percentage point for the Normal probability distribution 642\u003c\/p\u003e \u003cp\u003eTable 5 Percentage points of the Student’s \u003ci\u003et\u003c\/i\u003e-distribution 643\u003c\/p\u003e \u003cp\u003eTable 6 0.5% points of the \u003ci\u003eF\u003c\/i\u003e-distribution 644\u003c\/p\u003e \u003cp\u003eTable 7 Percentage points for the Chi-squared distribution 648\u003c\/p\u003e \u003cp\u003eTable 8 Table of random numbers 649\u003c\/p\u003e \u003cp\u003e\u003cb\u003eGlossary\u003c\/b\u003e 651\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex\u003c\/b\u003e 653\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default 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