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# 统计代写|统计入门代写Introduction to Statistics代考|STAT1300 What Is the Study of Statistics, and Why Is It Important?

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## 统计代写|统计入门代写Introduction to Statistics代考|What Is the Study of Statistics, and Why Is It Important?

TJe all live in a world that is increasingly dominated by data. Who Would have thought that the analysis of data would be as important to professional sports teams as it is to educational institutions and Fortune 500 businesses? Yet, it is. With increasing frequency, people are turning to the discipline of statistics to look for patterns and predict outcomes. The study of statistics contains a set of tools that helps us better understand complex outcomes and make decisions.

Statistics is the description, organization, analysis, and interpretation of quantitative information. This information might be a set of test scores, a preference for a particular type of automobile, or how often a basketball team scores after a steal from the other team. You can answer questions such as these, plus almost any other question that deals with the analysis of data, by using the various tools that you will learn about throughout this book.

The study of statistics is important for several reasons. In the most applied way, it helps us make decisions based on information otherwise too difficult or impossible to interpret. This usefulness can be apparent in even the most simple of cases. For example, rather than individual test scores for a group of students, wouldn’t the average score for all the students be more helpful? Or, wouldn’t you rather work with the average results of a survey about how a group of customers felt about the service they were given rather than each customer’s response to 20 different questions?

These two examples point to the fact that being able to collect, describe, and analyze information leads us to make better decisions because our decisions are based on evidence. And the tool that allows us to explore what that previously unorganized set of information might mean? Statistics!

Statistics is invaluable to the research that scholars do, the decisions that local and national politicians make, and even the everyday functioning of businesses that have to act on information to further their goals.
More questions? See questions #2, #3, and #4.

## 统计代写|统计入门代写Introduction to Statistics代考|How Did Statistics “Get Started”?

The study of statistics goes way beyond the collection and analysis of data-it’s much more about the collection and use of information to make important decisions. There has probably never been a time when people have not been concerned with how many of something they had (such as “How much food do we have until we run out?” or “How many days until winter?”) and how those numbers affected certain outcomes (such as well-being and shelter).

So from the start, numbers were attached to particular outcomes. If one did well in school and got good grades, there was a higher likelihood of success in future classes. If one got a good education, then a better job might await upon graduation. And it was not that long ago that those whom we know as demographers today (people who study populations and their characteristics) started counting and looking at distributions of where the most people lived, worked, and played.

All of this was mostly done by mathematicians, but as disciplines such as biology and, later, psychology were pressed for an understanding of what was being observed, the field of statistics was born.

Probably a major milestone in that birth was the work of Francis Galton, a first cousin of Charles Darwin who was born in the early 19th century. Galton invented the still very popular tool called the correlation coefficient, which looks at the relationship between variables. His interest? Intelligence among families. His work (though often questioned later on) laid the framework for comparing such relationships among family members.

After Galton, statistics saw a ton of new developments as an increasingly complex society increased demand to understand the complexity of all the information that was available. Such names as Karl Pearson (mathematician) and R. A. Fisher (agronomist) applied what they learned from their own fields of study and to different aspects of human behavior. With the advent of personal computers over the last 40 years, the most powerful of statistical techniques have become available to almost anyone who might want to look at patterns and trends in large data sets-a very important part of modern-day statistics. Even college and professional sports teams now use this approach to identify what works-and what doesn’t.

## 统计代写|统计入门代写Introduction to Statistics代考|What Is the Study of Statistics, and Why Is It Important?

TJe 都生活在一个越来越被数据主导的世界中。谁会想到数据分析对职业运动队的重要性不亚于对教育机构和财富 500 强企业的重要性？然而，确实如此。随着频率的增加，人们开始转向统计学科来寻找模式和预测结果。统计研究包含一组工具，可以帮助我们更好地理解复杂的结果并做出决策。

## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。