Posted on Categories:Introduction to Statistics, 统计代写, 统计代考, 统计入门

## avatest™帮您通过考试

avatest™的各个学科专家已帮了学生顺利通过达上千场考试。我们保证您快速准时完成各时长和类型的考试，包括in class、take home、online、proctor。写手整理各样的资源来或按照您学校的资料教您，创造模拟试题，提供所有的问题例子，以保证您在真实考试中取得的通过率是85%以上。如果您有即将到来的每周、季考、期中或期末考试，我们都能帮助您！

•最快12小时交付

•200+ 英语母语导师

•70分以下全额退款

## 统计代写|统计入门代写Introduction to Statistics代考|What Is the Mode, and How Is It Computed?

he mode is the value that occurs most frequently in a group of values, and it is computed by counting the number of times a value appears and identifying the one that occurs most frequently.

For example, look at the following set of values. Here we are defining a value as the label attached to a particular outcome-in this case, different colors.
\begin{tabular}{|l|l|l|l|l|}
\hline Red & Blue & Blue & Gray & Violet \
\hline Yellow & Blue & Blue & Gray & Violet \
\hline Yellow & Blue & Blue & Gray & Violet \
\hline Yellow & Blue & Gray & Violet & Violet \
\hline Blue & Blue & Gray & Violet & Violet \
\hline
\end{tabular}
If you count the frequency that each value appears, you end up with the following:
\begin{tabular}{|l|c|}
\hline Value & Frequency \
\hline Red & 1 \
\hline Yellow & 3 \
\hline Blue & 9 \
\hline Gray & 5 \
\hline Violet & 7 \
\hline
\end{tabular}
The most frequently occurring value is Blue (which appears nine times), so the mode is the value Blue.

One of the most common errors made regarding the mode is reporting the mode as the frequency with which a value occurs rather than the value itself. So, in the above example, the mode is not 9 but rather is the value that appears most often, or Blue.

One important thing to remember about the mode is that if all the values in a set of data occur with equal frequency, then that set of data does not have mode. Also, a set of data can have more than one mode. When there are two modes, the distribution of values is referred to as bimodal.

## 统计代写|统计入门代写Introduction to Statistics代考|What Is an Example of How the Mode Can Be Used?

he mode is the least precise measure of central tendency because it deals with the frequency of a value’s occurrence rather than the value itself. However, if one were charged with computing the most central value to represent a set of labels, the mode would be the most appropriate measure of central tendency.

For example, here is a list of the number of members who identify with five different political parties.
\begin{tabular}{|c|c|}
\hline Party & Number of Members \
\hline A & 587 \
\hline B & 456 \
\hline C & 454 \
\hline D & 876 \
\hline E & 194 \
\hline
\end{tabular}
In this example, the mode is Party $\mathrm{D}$, the party that occurs most frequently.

In the following bimodal example, there are two values that occur with equal frequency.
\begin{tabular}{|c|c|}
\hline Party & Number of Members \
\hline A & 876 \
\hline B & 456 \
\hline C & 454 \
\hline D & 876 \
\hline E & 194 \
\hline
\end{tabular}

Both Party A and Party D occur with the same frequency and so are both modes in this distribution of scores. Consequently, the distribution is bimodal in nature. A bimodal distribution would have two “high points” or humps, as you see in Figure $14.1$.

## 统计代写|统计入门代写Introduction to Statistics代考|What Is an Example of How the Mode Can Be Used?

$A$ 方和 D 方都以相同的频率出现，并且在这种分数分布中都是两种模式。因此，分布本质上是双峰的。如图所示，双峰分布将有 两个”高点”或驼峰14.1.

## 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。

Posted on Categories:Introduction to Statistics, 统计代写, 统计代考, 统计入门

## avatest™帮您通过考试

avatest™的各个学科专家已帮了学生顺利通过达上千场考试。我们保证您快速准时完成各时长和类型的考试，包括in class、take home、online、proctor。写手整理各样的资源来或按照您学校的资料教您，创造模拟试题，提供所有的问题例子，以保证您在真实考试中取得的通过率是85%以上。如果您有即将到来的每周、季考、期中或期末考试，我们都能帮助您！

•最快12小时交付

•200+ 英语母语导师

•70分以下全额退款

## 统计代写|统计入门代写Introduction to Statistics代考|What Are Measures of Central Tendency, and Why Are They Used?

1V easures of central tendency such as the mode, the median, and the the characteristics of a tirst type of descriptive statistics that one uses to describe
Meystires will be discussed in the next section in 100 Questions.
centrat or restes of central tendency, also called averages, reflect the one most select only onesentative point in a set of data. In other words, if you had to select only one score from a set of scores to represent that set, you would you might use the mean as the descriptive statistic. for the month of August, central tendency one uses depends on the type of data one is dealing with
The median is the score that is the midpoint among a group of scores when the scores are put in order from least to greatest. It is defined as the point at which $50 \%$ of the scores are above it and $50 \%$ of the scores are below it. It is most often used to compute the average of a set of scores when the set includes extreme (very high or very low) scores.

The mode, which is the most imprecise measure of central tendency, is the number of times that the most frequently occurring score appears in a set of data. It is most often used when the data are nominal or categorical in nature.

The mean is the arithmetic average of a set of scores. While there are different types of means, the arithmetic mean is the point at which the set of data is “balanced” or the point at which the various scores find a middle ground.
While each of these measures of central tendency is used for different types of data, one of the most important applications is to describe a data set along with measures of variability and as the basis for the computation of standard scores. In addition, an interesting applied question when dealing with any type of data is, What is the relationship between an “average” score and scores that are “not average” or atypical?

## 统计代写|统计入门代写Introduction to Statistics代考|What Is an Example of How a Measure of Central Tendency Can Be Used?

verages are often used as a reference point for one characteristic of a set of scores, such as the average heights of males and females. Averages are the “middle” ground: The average is the best representation of all the scores in a set of scores. In both inferential as well as descriptive statistics, averages are widely used as measures that can be compared to one another to determine whether there is any difference between two or more groups.

One such study examined the perceptions of love across the life span using a triangular theory of love, which distinguishes among passion, intimacy, and commitment. The study investigated the results of tests in which the short Triangular Love Scale was administered to adolescents and adults, and it tracked age and gender differences in a sample of almost 3,000 12- to 88-year-olds.

Where do averages fit in? In answering their questions, the researcher used an inferential test-called the $t$-test-that compares the mean score of one group of participants to the mean score of another group of participants. $t$-tests, which use the arithmetic mean as the average (along with a measure of variability), enable the researchers to reach a conclusion as to whether the difference between groups is due to chance or due to the variable of interest. In this case, the variable of interest was the score on the Triangular Love Scale.

The results? Adolescents (ages 12-17 years) reported lower levels of all love components compared to young adults (ages 18-30 years), and older adults (50+ years) reported lower levels of passion and intimacy but similar levels of commitment compared to young and middle-aged adults (ages 30-50 years). Gender differences in the perceptions of all three love components were present but less sizeable than the researchers expected.

The use of the mean as an indicator of differences and the $t$-test (which comes in many forms) is very common in basic statistics.
Here’s the complete reference …
Sumter, S. R., Valkenburg, P. M., \& Peter, J. (2013). Perceptions of love across the lifespan: Differences in passion, intimacy, and commitment. International Journal of Behavioral Development, 37(5), 417-427.

## 统计代写|统计入门代写Introduction to Statistics代考|What Are Measures of Central Tendency, and Why Are They Used?

1V 集中趋势的度量，例如众数、中位数，以及用于描述
Meystires 的第一类描述性统计的特征，将在下一节的 100 个问题中讨论。

## 统计代写|统计入门代写Introduction to Statistics代考|What Is an Example of How a Measure of Central Tendency Can Be Used?

Sumter, SR, Valkenburg, PM, \& Peter, J. (2013)。一生中对爱的看法：激情、亲密和承诺的差异。国际行为发展杂志，37（5），417-427。

## 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。

Posted on Categories:Introduction to Statistics, 统计代写, 统计代考, 统计入门

## avatest™帮您通过考试

avatest™的各个学科专家已帮了学生顺利通过达上千场考试。我们保证您快速准时完成各时长和类型的考试，包括in class、take home、online、proctor。写手整理各样的资源来或按照您学校的资料教您，创造模拟试题，提供所有的问题例子，以保证您在真实考试中取得的通过率是85%以上。如果您有即将到来的每周、季考、期中或期末考试，我们都能帮助您！

•最快12小时交付

•200+ 英语母语导师

•70分以下全额退款

## 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。