TAILIEUCHUNG - BUSINESS STATISTICS DEMYSTIFIED

Many people find statistics challenging, but most statistics professors do not. As a result, it is sometimes hard for our professors and the authors of statistics textbooks to make statistics clear and practical for business students, managers, and executives. Business Statistics Demystified fills that gap. We begin slowly, introducing statistical concepts without mathematics. We build step by step, from defining statistics in Part One providing the basic tools for creating and understanding statistical reports in Part Two, introducing the statistical measures commonly—and some not-so-commonly—used in business in Part Three and, in Part Four, applying statistics to practical business situations with forecasting, quality management, and more | business statistics DeMYSTiFieD A SELF-TEACHING GUIDE Learn to PRESENT statistics EFFECTIVELY through simple graphs UNDERSTAND and prepare statistical REPORTS Make business DECISIONS using statistical STUDIES Well-illustrated TECHNIQUES using real-world BUSINESS examples Complete with chapter-ending QUIZZES and final EXAMS Steven M. Kemp . Sid Kemp BUSINESS STATISTICS DEMYSTIFIED Demystified Series Advanced Statistics Demystified Algebra Demystified Anatomy Demystified Astronomy Demystified Biology Demystified Business Statistics Demystified Calculus Demystified Chemistry Demystified College Algebra Demystified Earth Science Demystified Everyday Math Demystified Geometry Demystified Physics Demystified Physiology Demystified Pre-Algebra Demystified Project Management Demystified Statistics Demystified Trigonometry .

• Quản trị kinh doanh
• Business Statistics
• EASY LEARNING
• statistics classes
• Statistics Demystified
• business decisions
• statistical assumptions
• Lecture Business statistics
• Bài giảng Thống kê doanh nghiệp
• Descriptive statistics tabular
• Descriptive statistics graphical presentations
• Summarizing quantitative data
• Essentials of modern business statistics
• Modern business statistics
• Descriptive statistics
• Graphical presentations
• numerical measures
• Exploratory data analysis
• Interval estimation
• Hypothesis tests
• Simple linear regression
• Basic statistics
• Statistics for business
• Describing data
• Types of statistics
• Quantitative variables
• Ordinal level data
• Business statistics in practice
• Data sources
• Statistical inference
• Illustrate sampling
• Graphical methods
• Tabular methods
• Graphically summarizing qualitative data
• Numerical methods
• Describing central tendency
• Measures of variation
• Sample spaces
• Elementary probability rules
• Compute conditional probabilities
• Discrete random variables
• Discrete probability distributions
• Binomial distribution
• Continuous random variables
• Continuous probability distributions
• Uniform distribution
• Sampling distributions
• Random sampling
• Stratified random
• Confidence intervals
• Sample size determination
• Hypothesis testing
• Alternative hypotheses
• Sampling distribution
• Equal variance
• Statistical inferences
• Population variances
• Experimental design
• Analysis of variance
• Randomized block design
• Chi square tests
• Chi square goodness of fit tests
• Multinomial experiment
• Simple linear regression analysis
• Simple linear regression model
• Model assumptions
• Multiple regression
• Least squares point estimate
• Multiple regression model
• Times series forecasting
• Index numbers
• Forecast error comparisons
• Statistical process control
• Causes of variation
• Control charts
• Nonparametric methods
• Hypothesis test
• Decision theory
• Utility theory
• Posterior probabilities