Introductory Statistics (GE)10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

出版者齣版社：華泰文化訂閱齣版社新書快訊新功能介紹

翻譯者

出版日期齣版日期：2016/11/23

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2024-11-21

類似圖書點擊查看全場最低價

圖書描述

Weiss’s Introductory Statistics, Tenth Edition, is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. Comprehensive in its coverage, Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and over 3,000 exercises, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical understanding.

　　This text contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two.

著者信息

作者簡介

Neil A.Weiss

　　現職：Arizona State University

Introductory Statistics (GE)10版 pdf epub mobi txt 電子書下載

圖書目錄

PART I: INTRODUCTION
Ch 1 The Nature of Statistics

PART II: DESCRIPTIVE STATISTICS
Ch 2 Organizing Data
Ch 3 Descriptive Measures

PART III: PROBABILITY, RANDOM VARIABLES, AND SAMPLING DISTRIBUTIONS
Ch 4 Probability Concepts
Ch 5 Discrete Random Variables∗
Ch 6 The Normal Distribution
Ch 7 The Sampling Distribution of the Sample Mean

PART IV: INFERENTIAL STATISTICS
Ch 8 Confidence Intervals for One Population Mean
Ch 9 Hypothesis Tests for One Population Mean
Ch 10 Inferences for Two Population Means
Ch 11 Inferences for Population Standard Deviations∗
Ch 12 Inferences for Population Proportions
Ch 13 Chi-Square Procedures

PART V: REGRESSION, CORRELATION, AND ANOVA
Ch 14 Descriptive Methods in Regression and Correlation
Ch 15 Inferential Methods in Regression and Correlation
Ch 16 Analysis of Variance (ANOVA)

PART VI: MULTIPLE REGRESSION AND MODEL BUILDING; EXPERIMENTAL DESIGN AND ANOVA∗∗
MODULE A: Multiple Regression Analysis
MODULE B: Model Building in Regression
MODULE C: Design of Experiments and Analysis of Variance