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درصورت عدم همخوانی توضیحات با کتاب
از ساعت 7 صبح تا 10 شب
ویرایش: 2
نویسندگان: David Doane. Lori E. Seward
سری:
ISBN (شابک) : 0073373656, 9780073373652
ناشر: McGraw-Hill College
سال نشر: 2009
تعداد صفحات: 640
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 15 مگابایت
در صورت تبدیل فایل کتاب Essential Statistics in Business and Economics به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب آمار ضروری در تجارت و اقتصاد نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
کتاب دون دیوید سیوارد لری ای
Book by Doane David Seward Lori E
Title Contents CHAPTER ONE Overview of Statistics 1.1 What Is Statistics? 1.2 Why Study Statistics? 1.3 Uses of Statistics 1.4 Statistical Challenges 1.5 Writing and Presenting Reports 1.6 Critical Thinking 1.7 Statistics: An Evolving Field Chapter Summary Chapter Exercises CHAPTER TWO Data Collection 2.1 Definitions 2.2 Level of Measurement 2.3 Time Series versus Cross-Sectional Data 2.4 Sampling Concepts 2.5 Sampling Methods 2.6 Data Sources 2.7 Survey Research Chapter Summary Chapter Exercises CHAPTER THREE Describing Data Visually 3.1 Visual Description 3.2 Dot Plots 3.3 Frequency Distributions and Histograms 3.4 Line Charts 3.5 Bar Charts 3.6 Scatter Plots 3.7 Tables 3.8 Pie Charts 3.9 Effective Excel Charts 3.10 Deceptive Graphs Chapter Summary Chapter Exercises CHAPTER FOUR Descriptive Statistics 4.1 Numerical Description 4.2 Central Tendency 4.3 Dispersion 4.4 Standardized Data 4.5 Percentiles, Quartiles, and Box Plots 4.6 Correlation Chapter Summary Chapter Exercises Exam Review Questions for Chapters 1–4 CHAPTER FIVE Probability 5.1 Random Experiments 5.2 Probability 5.3 Rules of Probability 5.4 Independent Events 5.5 Contingency Tables 5.6 Counting Rules Chapter Summary Chapter Exercises CHAPTER SIX Discrete Probability Distributions 6.1 Discrete Distributions 6.2 Uniform Distribution 6.3 Bernoulli Distribution 6.4 Binomial Distribution 6.5 Poisson Distribution Chapter Summary Chapter Exercises CHAPTER SEVEN Continuous Probability Distributions 7.1 Describing a Continuous Distribution 7.2 Uniform Continuous Distribution 7.3 Normal Distribution 7.4 Standard Normal Distribution 7.5 Normal Approximations 7.6 Exponential Distribution Chapter Summary Chapter Exercises Exam Review Questions for Chapters 5–7 CHAPTER EIGHT Sampling Distributions and Estimation 8.1 Sampling Variation 8.2 Estimators and Sampling Distributions 8.3 Sample Mean and the Central Limit Theorem 8.4 Confidence Interval for a Mean (μ) with Known σ 8.5 Confidence Interval for a Mean (μ) with Unknown σ 8.6 Confidence Interval for a Proportion (π) 8.7 Sample Size Determination for a Mean 8.8 Sample Size Determination for a Proportion Chapter Summary Chapter Exercises CHAPTER NINE One-Sample Hypothesis Tests 9.1 Logic of Hypothesis Testing 9.2 Statistical Hypothesis Testing 9.3 Testing a Mean: Known Population Variance 9.4 Testing a Mean: Unknown Population Variance 9.5 Testing a Proportion Chapter Summary Chapter Exercises CHAPTER TEN Two-Sample Hypothesis Tests 10.1 Two-Sample Tests 10.2 Comparing Two Means: Independent Samples 10.3 Comparing Two Means: Paired Samples 10.4 Comparing Two Proportions 10.5 Comparing Two Variances Chapter Summary Chapter Exercises Exam Review Questions for Chapters 8–10 CHAPTER ELEVEN Analysis of Variance 11.1 Overview of ANOVA 11.2 One-Factor ANOVA (Completely Randomized Model) 11.3 Multiple Comparisons 11.4 Tests for Homogeneity of Variances Chapter Summary Chapter Exercises CHAPTER TWELVE Simple Regression 12.1 Visual Displays and Correlation Analysis 12.2 Simple Regression 12.3 Regression Terminology 12.4 Ordinary Least Squares Formulas 12.5 Tests for Significance 12.6 Analysis of Variance: Overall Fit 12.7 Confidence and Prediction Intervals for Y 12.8 Violations of Assumptions 12.9 Unusual Observations 12.10 Other Regression Problems Chapter Summary Chapter Exercises CHAPTER THIRTEEN Multiple Regression 13.1 Multiple Regression 13.2 Assessing Overall Fit 13.3 Predictor Significance 13.4 Confidence Intervals for Y 13.5 Binary Predictors 13.6 Multicollinearity 13.7 Violations of Assumptions 13.8 Other Regression Topics Chapter Summary Chapter Exercises Exam Review Questions for Chapters 11–13 CHAPTER FOURTEEN Chi-Square Tests 14.1 Chi-Square Test for Independence 14.2 Chi-Square Tests for Goodness-of-Fit Chapter Summary Chapter Exercises APPENDIXES A Exact Binomial Probabilities B Exact Poisson Probabilities C-1 Standard Normal Areas C-2 Cumulative Standard Normal Distribution D Student’s t Critical Values E Chi-Square Critical Values F Critical Values of F G Solutions to Odd-Numbered Exercises H Answers to Exam Review Questions PHOTO CREDITS INDEX