Medical Statistics（医学统计学）答案2023

第十一章测试

1.If we want to analyze the linear relationship between two quantitative variables with normal distribution, what method can we use? （ ）
A:t test B:Pearson correlation C:Spearman rank correlation D:ANOVA
答案:B
2.If we want to analyze the relationships between the outcomes ( cured, markedly effective, effective and ineffective) of two drugs treatment, what method can we use? （ ）
A:Spearman Rank correlation B:ANOVA C:Pearson correlation D:t test 3.If we want to predict the value of one variable according to the value of another variable. Suppose the two variables follow normal distribution. What method can we use? （ ）
A:Pearson correlation B:simple linear regression C:ANOVA D:Spearman Rank correlation 4.Which indicator is used to evaluate the performance of linear model? （ ）
A:Pearson correlation coefficient B:Spearman Rank correlation coefficient C:R square D:regression coefficient 5.The stronger the correlation between the two numerical variables, （ ）
A:the greater the absolute value of the regression coefficient B:the greater the absolute value of the correlation coefficient C:the larger the regression coefficient D:the greater the correlation coefficient