超星Quantitative Information Analysis期末答案(学习通2023题目答案)

分类: 问答问答发布于:2024-06-02 13:00:32ė07697次浏览691条评论

超星Quantitative Information Analysis期末答案(学习通2023题目答案)

Chapter 1. Introduction to QIA

1.1 What is 超星QIA?随堂测验

1、1. Information analytics include:
A、末答Data organization
B、案学Data interpretation
C、习通Data visualization
D、题目All of above.

2、答案2. Which one of the following categories does the age of a student (e.g.,超星 19) belong to?
A、Nominal
B、末答Ordinal
C、案学Interval
D、习通Ratio

3、题目3. Which one of the following categories does the gender of a student (e.g.,答案 female) belong to?
A、Nominal
B、超星Ordinal
C、末答Interval
D、案学Ratio

4、4. Which one of the following categories does the average score of a course (e.g., 85.2) belong to?
A、Nominal
B、Ordinal
C、Interval
D、Ratio

5、5. Which one of the following categories does the ranking of a student's score (e.g., 2) belong to?
A、Nominal
B、Ordinal
C、Interval
D、Ratio

1.2 Software used for QIA随堂测验

1、1. What is the ultimate purpose of data analysis?
A、To build a model to perform simulation
B、To gain insights and help with decision making
C、To make a descriptive analysis and visualize the data
D、To build a model to perform simulation

2、2. When optimizing a model, we should always consider a trade-off between model interpretation and model accuracy.

3、3. We will use Python, R and ____ in this class.

4、4. The stages of data analytics usually include feature selection, modeling and testing, model evaluation and .

Assignment

1、Data is everywhere. It is the abstract of the number, feature, location or relationship of the objective things, and is also the fact about the world. Information is meaningful and logical data flow, which is valuable for decision-making. Would you please use an example of your own to illustrate the difference between data and information?

Chapter 2. QIA methods: Indicators and measurements

2.1 Collaboration indices I随堂测验

1、1. Which of the following terminology is the same as reproducibility
A、Validity
B、Fair
C、Useful
D、Reliability

2、2. Normalization with z-value can be used for
A、Normally distributed data
B、Symmetric but not normally distributed data
C、Uniformly distributed data
D、Exponentially distributed data

3、3. An indicator is a mathematical expression that can be applied to ________ data.

2.2 Collaboration indices II随堂测验

1、1. Which of the following indices can represent the degree of collaboration
A、
B、
C、
D、

2、2. According to this figure, we can argue that collaboration enhances productivity.

2.3 The h-index I随堂测验

1、1. The first h articles ranked by the citation counts in descending order form the h-core, then h-tail is
A、all the other articles outside the h-core
B、the last h articles by the same ranking
C、randomly picked h articles
D、another h articles right following the h-core by the order

2、Read the following table and answer questions 2-4 2. The h index of this author is .
A、4
B、5
C、6
D、7

3、3. The h-core consists publication
A、A, B, C
B、A, B, C, D
C、A, B, C, D, E
D、A, B, C, D, E, F

4、4. The extended h-core including publications
A、A, B, C
B、A, B, C, D
C、A, B, C, D, E
D、A, B, C, D, E, F

2.4 The h-index II随堂测验

1、1. Which of the following characteristics of the h-index is not correct
A、Simple
B、Relatively stable
C、Independent of productivity
D、Time-dependent

2、2. Which of the following has no chances to affect the value of the h-index?
A、Increasing the number of publications alone
B、Increasing the number of co-authors
C、Calculation errors
D、Increasing the number of citations

3、3. Does the h-index measure how GOOD a scientist is?

4、4. One potential flaw of the h-index is that publications and citations are not _____ on each other.

学习通Quantitative Information Analysis


Quantitative Information Analysis的定义

Quantitative Information Analysis是指利用数学、统计学等方法对数据进行分析和处理的过程。


Quantitative Information Analysis的重要性

Quantitative Information Analysis可以帮助人们更深入地了解数据,发现数据中的规律和趋势,从而更好地做出决策和规划。


Quantitative Information Analysis的基本步骤

  • 确定研究问题
  • 收集数据
  • 处理数据
  • 分析数据
  • 得出结论

Quantitative Information Analysis中的常用方法

  • 描述性统计分析
  • 假设检验
  • 方差分析
  • 回归分析
  • 因子分析

Quantitative Information Analysis的应用领域

Quantitative Information Analysis广泛应用于各个领域,包括经济学、金融学、医学、心理学、教育学、社会学等。


Quantitative Information Analysis的学习方法

学习Quantitative Information Analysis需要具备一定的数学和统计学知识,并且需要掌握相关的软件和工具,如Excel、SPSS等。

另外,建议学习者多进行实践,通过对真实数据的分析和处理,提高分析能力和实际操作能力。


Quantitative Information Analysis的发展趋势

随着数据时代的到来,Quantitative Information Analysis的重要性越来越凸显。未来,Quantitative Information Analysis将更加注重数据的质量、数据挖掘技术、人工智能等方面的发展。


结语

Quantitative Information Analysis是一项重要的技能和工具,在各个领域都有重要的应用价值。希望更多的人能够掌握Quantitative Information Analysis的方法和技巧,更好地应对数据分析和处理的需求。



Ɣ回顶部