The paired t-test.(Demystifying Research)Mowery, Bernice D
The t-test for independent samples 5. The paired t-test 6. One-way ... RB Bausell,YF Li 被引量: 139发表: 2002年 Power Analysis for Experimental Research 'Power analysis' is a tool for determining whether a statistically significant result can be expected in a scientific experiment prior ...
Paired t-test can be used only when the differenceddis normally distributed. This can be checked usingShapiro-Wilk test. Related Book: Practical Statistics in R for Comparing Groups: Numerical Variables Research questions and statistical hypotheses ...
Student’s t-tests are further broken down into two categories: paired t-tests and unpaired t-tests. These statistical tests are commonly used in research in the fields of biology, business, and psychology.This article will explain when it is appropriate to use a paired t-test...
There are reports in this procedure that permit you to examine the assumptions, both visually and through assumptions tests. Paired T-Test Assumptions The assumptions of the paired t-test are: 1. The data are continuous (not discrete). 2. The data, i.e., the differences for the matched-...
The research team finds a significant difference in the number of edits completed in the two test conditions. The paired t-test is similar to the repeated measures ANOVA test. Both can be used to compare how a static group performs in varying test conditions. The difference is that the ...
The paired sample t-test, sometimes called the dependent sample t-test, is a statistical procedure. Specifically, it determines whether the mean difference between two sets of observations is zero. In a paired sample t-test, one should measure each subject or entity twice, resulting in pairs ...
摘要: Summary This chapter contains section titled: Assumptions for a paired test Non-parametric test for paired data Standardising for differences in baseline measurements Single-sample test Research question Presenting the results Notes for critical appraisal关键词:...
a6. 对不同性质的斑块(包括软斑、混合斑、硬斑、钙斑)强化定量指标采用配对t检验及方差分析进行比较,分析不同性质斑块强化程度的差异。 6. To the heterogeneity mottling (including soft spot, mix spot, hard spot, calcium spot) strengthens the quota target to use pairs the T-test and the variance ...
The two new nonparametric tests have comparable power to the paired t test for the data simulated from bivariate normal distributions, and are generally more powerful than the paired t test and other commonly used nonparametric tests in several important bivariate distributions. 展开 ...