With a “regular”two sample t test, you’re comparing themeansfor two differentsamples. For example, you might test two different groups of customer service associates on a business-related test or testing students from two universities on their English skills. But if you take arandom sampleea...
I've run the following and can examine if the e.g., 95% CI's overlap, but would like to calculate the p-value that the means are equal. .svy: mean y .svy: mean y, subpop(Michigan_dummy) Is there a post-estimation test that can compare the survey-based means above? I've also...
chi-square test C. ANOVA D. correlation test 相关知识点: 试题来源: 解析 A。用于比较两组均值的统计检验是 t 检验(t-test)。卡方检验(chi-square test)用于检验分类变量之间的关系;方差分析(ANOVA)用于比较多个组的均值;相关检验(correlation test)用于检验变量之间的相关性。反馈 收藏 ...
## Two Sample t-test ## ## data: sample_data1 and sample_data2 ## t = -1.7036, df = 98, p-value = 0.09162 ## alternative hypothesis: true difference in means is not equal to 0 ## 95 percent confidence interval: ## -6.7544625 0.5143682 ## sample estimates: ## mean of x mean...
t=2.4234,df=15,p-value=0.01424alternative hypothesis:true differenceinmeans is greater than095percent confidence interval:1.41478Infsample estimates:mean of x mean of y73.3900068.27556 正态总体方差的检验 x<-c(16.2,16.4,15.8,15.5,16.7,15.6,15.8)y<-c(15.9,16.0,16.4,16.1,16.5,15.8,15.7,15.0)va...
具体的差别：One Way ANOVA A one way ANOVA is used to compare two means from two independent (...
A related test, the paired t-test, to be discussed in the next section, is used to compare two population means using samples that are paired in some way. The samples for a two-sample t-test can be obtained from a single popu- lation that has been randomly divided into two subgroups,...
Which statistical test is used to compare the means of two independent groups? A. t-test B. ANOVA C. Correlation analysis D. Regression analysis 相关知识点: 试题来源: 解析 A。解析:t 检验用于比较两个独立组的均值,ANOVA 用于比较多个组的均值,相关分析用于研究变量之间的关系,回归分析用于建立变量...
In the previous Understanding Statistics article, the discussion focused on comparing means of two groups of equal size.[1] As discussed in that article, the t-test is performed to compare the means of the two groups, under the assumption that both ...
We would have liked to compare the population parameters, but unfortunately we only had population values for British children. For Australian children we took a sample of 20 and made an inference based on this sample result. However, what if we did not have information on the population of ...