Statistics for Business and Economics (GE)(14版) pdf epub mobi txt 電子書下載 2024

圖書介紹

☆☆☆☆☆
簡體網頁||繁體網頁

作者 James T. McClave

出版者華泰文化

翻譯者

出版日期齣版日期：2022/04/08

語言語言：英文

下載鏈接在頁面底部

點擊這裡下載

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 複製鏈接

想要找書就要到小特書站

ttbooks.qciss.net

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!

發表於2024-11-18

類似圖書點擊查看全場最低價

圖書描述

　　Now in its 14th edition, Statistics for Business and Economics by McClave, Benson, and Sincich places statistics in the context of contemporary business. The text places emphasis on inference, extensively covering data collection and analysis needed to evaluate the results of statistical studies and make good decisions. Students are encouraged to develop statistical thinking and to understand both the assessment of credibility and the value of data inferences.

　　Based on the American Statistical Association's Guidelines for Assessment and Instruction in Statistics Education(GAISE) Project, the text emphasizes statistical literacy, fosters active learning in the classroom, discusses intuitive probability, stresses conceptual understanding over mere knowledge of procedures, and employs technology to develop this understanding and to analyze data.

著者信息

作者簡介

James T. McClave

　　現職：University of Florida

P. George Benson　

　　現職：College of Charleston

Terry Sincich

　　現職：University of South Florida

Statistics for Business and Economics (GE)(14版) pdf epub mobi txt 電子書下載

圖書目錄

Ch 1 Statistics, Data, and Statistical Thinking
Ch 2 Methods for Describing Sets of Data
Ch 3 Probability
Ch 4 Random Variables and Probability Distributions
Ch 5 Sampling Distributions
Ch 6 Inferences Based on a Single Sample: Estimation with Confidence Intervals
Ch 7 Inferences Based on a Single Sample: Tests of Hypotheses
Ch 8 Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses
Ch 9 Design of Experiments and Analysis of Variance
Ch10 Categorical Data Analysis
Ch11 Simple Linear Regression
Ch12 Multiple Regression and Model Building
Ch13 Methods for Quality Improvement: Statistical Process Control (Available Online)
Ch14 Time Series: Descriptive Analyses, Models, and Forecasting (Available Online)
Ch15 Nonparametric Statistics (Available Online)