Statistics Done Wrong pdf epub mobi txt 电子书下载 2024

☆☆☆☆☆
简体网页||繁体网页

Alex Reinhart

No Starch Press

2015-3-16

176

USD 24.95

Paperback

9781593276201

图书标签: 统计学统计数学 statistics 概率数据处理应用统计经济学

喜欢 Statistics Done Wrong 的读者还喜欢

下载链接在页面底部

点击这里下载

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 复制链接

想要找书就要到小哈图书下载中心

qciss.net

立刻按 ctrl+D收藏本页

你会得到大惊喜!!

发表于2024-05-18

Statistics Done Wrong epub 下载 mobi 下载 pdf 下载 txt 电子书下载 2024

Statistics Done Wrong pdf epub mobi txt 电子书下载 2024

图书描述

Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong.

Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics.

You'll find advice on:

Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan

How to think about p values, significance, insignificance, confidence intervals, and regression

Choosing the right sample size and avoiding false positives

Reporting your analysis and publishing your data and source code

Procedures to follow, precautions to take, and analytical software that can help

Scientists: Read this concise, powerful guide to help you produce statistically sound research.

Statisticians: Give this book to everyone you know.

The first step toward statistics done right is Statistics Done Wrong.

Statistics Done Wrong 下载 mobi epub pdf txt 电子书

著者简介

Alex Reinhart is a statistics instructor and PhD student at Carnegie Mellon University. He received his BS in physics at the University of Texas at Austin and does research on locating radioactive devices using statistics and physics.