2021 Quantitative Information Analysis(南京大学) 最新满分章节测试答案
- Chapter 3. QIA methods: correlation and regression Short test for 3.3
- Chapter 2. QIA methods: Indicators and measurements Short test for 2.1
- Chapter 3. QIA methods: correlation and regression Short test for 3.1
- Chapter 3. QIA methods: correlation and regression Short test for 3.2
- Chapter 2. QIA methods: Indicators and measurements Short test for 2.3
- Chapter 3. QIA methods: correlation and regression Short test for 3.4
- Chapter 3. QIA methods: correlation and regression Short test for 3.5
- Chapter 3. QIA methods: correlation and regression Short test for 3.6
- Chapter 2. QIA methods: Indicators and measurements Short test for 2.4
- Chapter 2. QIA methods: Indicators and measurements Short test for 2.5
- Chapter 2. QIA methods: Indicators and measurements Short test for 2.6
- Chapter 3. QIA methods: correlation and regression Short test for 3.7
- Chapter 1. Introduction to QIA Short test for 1.1
- Chapter 1. Introduction to QIA Short test for 1.2
- Chapter 2. QIA methods: Indicators and measurements Short test for 2.2
- Chapter 4. QIA methods: Causality Short test for 4.6
- Chapter 4. QIA methods: Causality Short test for 4.8
- Chapter 4. QIA methods: Causality Short test for 4.1
- Chapter 4. QIA methods: Causality Short test for 4.5
- Chapter 4. QIA methods: Causality Short test for 4.2
- Chapter 4. QIA methods: Causality Short test for 4.9
- Chapter 4. QIA methods: Causality Short test for 4.4
- Chapter 4. QIA methods: Causality Short test for 4.3
- Chapter 4. QIA methods: Causality Short test for 4.7
- Chapter 5. QIA methods: Information networks & visualization Short test for 5.6
- Chapter 5. QIA methods: Information networks & visualization Short test for 5.4
- Chapter 5. QIA methods: Information networks & visualization Short test for 5.1
- Chapter 5. QIA methods: Information networks & visualization Short test for 5.3
- Chapter 5. QIA methods: Information networks & visualization Short test for 5.7
- Chapter 5. QIA methods: Information networks & visualization Short test for 5.5
- Chapter 5. QIA methods: Information networks & visualization Short test for 5.2
- Chapter 5. QIA methods: Information networks & visualization Short test for 5.8
- Chapter 6. QIA methods: Text mining Short test for 6.5
- Chapter 6. QIA methods: Text mining Short test for 6.6
- Chapter 6. QIA methods: Text mining Short test for 6.4
- Chapter 6. QIA methods: Text mining Short test for 6.2
- Chapter 6. QIA methods: Text mining Short test for 6.1
- Chapter 6. QIA methods: Text mining Short test for 6.3
- Chapter 7. Future of QIA Short test for 7.1
- Chapter 7. Future of QIA Short test for 7.2
本答案对应课程为:点我自动跳转查看
本课程起止时间为:2021-03-11到2021-06-30
本篇答案更新状态:已完结
Chapter 3. QIA methods: correlation and regression Short test for 3.3
1、 问题:Which of the following value shows a positive correlation:
选项:
A:1.0
B:1.5
C:-1.0
D:-1.5
答案: 【1.0】
2、 问题:We usually use _ to test Pearson correlation coefficient.
选项:
A:z-test
B:t-test
C:Normalization
D:Chi-square test
答案: 【t-test】
3、 问题:We usually use __ to test Spearman rank order correlation coefficient.
选项:
A:z-test
B:t-test
C:Normalization
D:Chi-square test
答案: 【z-test】
4、 问题:Which of the following statements of Spearman rank order correlation coefficient and Kendall rank correlation coefficient is true?
选项:
A:We change original data to rank pair of data in Spearman rank order correlation coefficient to eliminate the influence of outliers.
B:For categorical variables, we need to use Spearman rank order correlation coefficient.
C:For two sequential measurement variables, we need to use Kendall rank correlation coefficient.
D:For continuous, normally distributed, linear variables, we need to use Spearman rank order correlation coefficient.
答案: 【We change original data to rank pair of data in Spearman rank order correlation coefficient to eliminate the influence of outliers.】
Chapter 2. QIA methods: Indicators and measurements Short test for 2.1
1、 问题:Which of the following terminology is the same as reproducibility
选项:
A:Validity
B:Fair
C:Useful
D:Reliability
答案: 【Reliability】
2、 问题:Normalization with z-value can be used for
选项:
A:Normally distributed data
B:Symmetric but not normally distributed data
C:Uniformly distributed data
D:Exponentially distributed data
答案: 【Normally distributed data】
3、 问题:An indicator is a mathematical expression that can be applied to __ data.
答案: 【numerical】
Chapter 3. QIA methods: correlation and regression Short test for 3.1
1、 问题:Which of the following statement of classical analysis and EDA is not true:
选项:
A:In classical analysis, we build models before analysis
B:In EDA, we estimate the model directly after preparing data
C:In classical analysis, we spend most of our time estimating and testing hypothetical models
D:In EDA, we focus more on the true distribution of data and emphasize the visualization of data
答案: 【In EDA, we estimate the model directly after preparing data】
2、 问题:Which one of the following does not belong to the descriptive statistics of one quantitative variable:
选项:
A:Maximum
B:Average
C:40 percentiles
D:Distribution
答案: 【Distribution】
3、 问题:If the following figure is the PDF plot, then _ is the CDF plot.
选项:
A:
B:
C:
D:
答案: 【】
4、 问题:The Matthew effect is examplified in this lecture as: a limited number of papers have a __ number of citations:
答案: 【(以下答案任选其一都对)large;
big;
great】
Chapter 3. QIA methods: correlation and regression Short test for 3.2
1、 问题:Which of the following cannot be used for bivariate data analysis:
选项:
A:Scatter plot
B:Pearson’s correlation coefficient
C:One-dimensional distribution
D:Regression analysis
答案: 【One-dimensional distribution】
2、 问题:In situation _, we will use Pearson’s correlation coefficient.
选项:
A:Continuous, normally distributed, linear data
B:Continuous, normally distributed data
C:Two sequential data
D:Continuous, uniformly distributed, linear data
答案: 【Continuous, normally distributed, linear data】
3、 问题:In the example about confidence interval in this lecture, why do we draw samples for 1000 times?
选项:
A:Decrease the negative effect from unusual data points
B:Avoid Matthew effect
C:Increase sample size to facilitate aggregate variable
D:Provide enough data for regression analysis
答案: 【Decrease the negative effect from unusual data points】
4、 问题:Which of the following is not a method used for multivariate data analysis:
选项:
A:Bubble plot
B:Pairwise analysis
C:Single scatter plot
D:Regression analysis
答案: 【Single scatter plot】
Chapter 2. QIA methods: Indicators and measurements Short test for 2.3
1、 问题:The first h articles ranked by the citation counts in descending order form the h-core, then h-tail is
选项:
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
答案: 【all the other articles outside the h-core】
2、 问题:Read the following table and answer questions 2-4The h index of this author is .
选项:
A:4
B:5
C:6
D:7
答案: 【5】
3、 问题:The h-core consists publication
选项:
A:A, B, C
B:A, B, C, D
C:A, B, C, D, E
D:A, B, C, D, E, F
答案: 【A, B, C, D, E】
4、 问题:The extended h-core including publications
选项:
A:A, B, C
B:A, B, C, D
C:A, B, C, D, E
D:A, B, C, D, E, F
答案: 【A, B, C, D, E, F】
Chapter 3. QIA methods: correlation and regression Short test for 3.4
1、 问题:Which of the following statement about regression analysis is not true?
选项:
A:Regression method analyzes the quantitative causal relationship between the independent variable and the dependent variable.
B:Regression analysis can be divided to quantitative variable regression and classified variable regression.
C:Regression analysis can be classified depending on the number of variables.
D:Regression analysis is omnipotent.
答案: 【Regression analysis is omnipotent. 】
2、 问题:In the following equation ,
is __.
选项:
A:residual
B:fitted value
C:real independent variable
D:estimated parameter
答案: 【residual】
3、 问题:According to the rule of OLS, the __ needs to be the smallest.
选项:
A:total sum of squares
B:residual sum of squares
C:explained sum of squares
D:regression
答案: 【residual sum of squares】
4、 问题:Which of the following statement for goodness of fit test for OLS is not true.
选项:
A:Goodness of fit test is used to describe the volatility of Yi relative to its fitted value.
B:TSS = ESS + RSS
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