12.3 实例的SPSS输出结果详解 （1）巴特利特球度检验和KMO检验 首先表15-3显示了对数据进行因子分析适用性检验 的结果。巴特利特球度检验统计量的观测值等于119. 915,。如果显著性水平等于0.05，由于概率P值小于 显著性水平，应拒绝原假设，认为相关系数矩阵与 单位阵有显著差异。同时，KMO值为0.763，根据Kai ser给出的KMO度量标准可知原有变量适合进行因子 分析。

The X-CUBE-SMBUS Expansion Package contains the SMBus/PMBus stack implementation for STM32Cube. The SMBus stack is built on STM32Cube HAL drivers to implement the transport layer. Middleware also includes the template for further expansion and personalization of PMBus support. The strict usage of STM32Cube ensures high portability across STM32 microcontrollers. X-CUBE-SMBUS is provided with example and basic functionality tests for the main board in the P-NUCLEO-WB55 pack, and for boards NUCLEO

《Qt及Qt Quick开发实战精解》教程+代码

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pytest Quick Start Guide pdf 来源：[pytest Quick Start Guide - 2018.pdf](https://itbooks.ctfile.com/fs/18113597-314070249) Learn the pytest way to write simple tests which can also be used to write complex tests Key Features Become proficient with pytest from day one by solving real-world testing problems Use pytest to write tests more efficiently Scale from simple to complex and functional testing Book Description Python's standard unittest module is based on the xUnit family of frameworks, which has its origins in Smalltalk and Java, and tends to be verbose to use and not easily extensible.The pytest framework on the other hand is very simple to get started, but powerful enough to cover complex testing integration scenarios, being considered by many the true Pythonic approach to testing in Python. In this book, you will learn how to get started right away and get the most out of pytest in your daily work?ow, exploring powerful mechanisms and plugins to facilitate many common testing tasks. You will also see how to use pytest in existing unittest-based test suites and will learn some tricks to make the jump to a pytest-style test suite quickly and easily. What you will learn Write and run simple and complex tests Organize tests in fles and directories Find out how to be more productive on the command line Markers and how to skip, xfail and parametrize tests Explore fxtures and techniques to use them effectively, such as tmpdir, pytestconfg, and monkeypatch Convert unittest suites to pytest using little-known techniques Use third-party plugins Who this book is for This book is for Python programmers that want to learn more about testing. This book is also for QA testers, and those who already benefit from programming with tests daily but want to improve their existing testing tools.

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教程将介绍使用Qt5.x版本开发应用程序的相关技术。教程更侧重讲解新的Qt Quick 开发技巧，在讲解Qt Quick扩展内容时会涉及部分Qt C++内容。 本章是对Qt5的概述，通过一个Qt5的应用程序示例展示Qt5中一种新的开发模式。 此外，本章旨在全面概述Qt5，以及如何与Qt5的开发者取得联系。

Need to learn statistics for your job? Want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject. Thoroughly revised and expanded, this edition helps you gain a solid understanding of statistics without the numbing complexity of many college texts. Each chapter presents easy-to-follow descriptions, along with graphics, formulas, solved examples, and hands-on exercises. If you want to perform common statistical analyses and learn a wide range of techniques without getting in over your head, this is your book. Learn basic concepts of measurement and probability theory, data management, and research design Discover basic statistical procedures, including correlation, the t-test, the chi-square and Fisher’s exact tests, and techniques for analyzing nonparametric data Learn advanced techniques based on the general linear model, including ANOVA, ANCOVA, multiple linear regression, and logistic regression Use and interpret statistics for business and quality improvement, medical and public health, and education and psychology Communicate with statistics and critique statistical information presented by others

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