Business Statistics: Communicating with Numbers, 5/e (Paperback)
Sanjiv Jaggia,Alison Kelly
- 出版商: McGraw-Hill Education
- 出版日期: 2025-01-01
- 售價: $1,880
- 貴賓價: 9.8 折 $1,842
- 語言: 英文
- 頁數: 750
- ISBN: 1266802509
- ISBN-13: 9781266802508
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相關分類:
機率統計學 Probability-and-statistics
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商品描述
Business Statistics: Communicating with Numbers takes a comprehensive and contemporary approach that aims to bridge the gap between how statistics is taught and applied in the business world. This title not only prepares students in basic statistics but also gets them excited about further exploration of data analytics. The authors emphasize communicating with numbers rather than number crunching, through relatable case studies with relevant statistical methods and takeaways. This title incorporates timely examples from various fields, reinforces core features from previous editions, uses Excel and R to analyze data and solve problems, and includes new improvements, such as a revised chapter on data visualization, an exclusive chapter on logistic regression, and digital enhancements such as a big data capstone project with algorithmic exercises that span across multiple chapters.
作者簡介
作者:Sanjiv Jaggia
現職:California Polytechnic State University
作者:Alison Kelly
現職:Suffolk University
目錄大綱
PART I: INTRODUCTION
Ch 1 Data and Data Preparation
PART II: DESCRIPTIVE STATISTICS
Ch 2 Data Visualization
Ch 3 Summary Meaures
PART III: PROBABILITIY AND PROBABILITY DISTRIBUTIONS
Ch 4 Introduction to Probability
Ch 5 Discrete Probability Distributions
Ch 6 Continuous Probability Distributions
PART IV: BASIC INFERENCE
Ch 7 Sampling and Sampling Distributions
Ch 8 Interval Estimation
Ch 9 Hypothesis Testing
Ch10 Statistical Inference Concerning Two Populations
Ch11 Statistical Inference Concerning Variance
Ch12 Chi-Square Tests
PART V: ADVANCED INFERENCE
Ch13 Analysis of Variance
Ch14 Correlation and Regression
Ch15 Inference with Regression Models
Ch16 More Topics in Regression Analysis
Ch17 Logistic Regression
PART VI: SUPPLEMENTARTY TOPICS
Ch18 Forecasting with Time Series Data
Ch19 Returns, Index Numbers, and Inflation
Ch20 Nonparametric Tests
