Yan D. ZhaoEli Lilly and CompanyShuguang HuangWyethInternational journal of industrial and systems engineeringRahardja, D., Zhao, Y.D. and Huang, S. (2009) `Statistical analysis for comparing two 2D-part fixtures', International J. of Industrial and Systems Engineering, Vol. 4, No. 2, pp....
When comparing two groups, you need to decide whether to use a paired test. When comparing three or more groups, the term paired is not apt and the term repeated measures is used instead. Use an unpaired test to compare groups when the individual values are not paired or matched with one...
The T-test (aka Student’s T-test) is a tool for comparing two data groups which have different mean values. The T-test allows the user to interpret whether differences are statistically significant or merely coincidental. For example, do women and men have different mean heights? We can te...
Which inferential statistical test is used to compare the means of 2 groups? a. ANOVA b. chi-square c. t-test Selection of Inferential Statistics As the name suggests the inferential statistics is about drawing inferences about a population characteristic ba...
means?) to the variability within the groups (how much natural variation is there in our measurements?). This is why it is called analysis of variance, abbreviated to ANOVA. This example has two factors (material type and temperature), each with 3 levels. ...
Alternatively, if events relate to a fixed follow-up time then methods for comparing two proportions (for example, the 蠂2 test) may be used. This article describes a much easier method than these, which readers can use to assess quickly the strength of evidence for a treatment difference ...
Note that this approach can be easily transferred to a two-sample test scenario. In this case, the input into LISA is two groups of contrast maps. In each random permutation, every contrast map is randomly assigned to one of the two groups. The rest of the analysis proceeds as before. ...
T-tests are used when comparing the means of precisely two groups (e.g., the average heights of men and women). ANOVA and MANOVA tests are used when comparing the means of more than two groups (e.g., the average heights of children, teenagers, and adults)....
(i.e. branch cell proportion) between two sample groups. As an example, comparing the branch cell proportion between male and female donors in the HCA-BM data by applying the binomial logistic regression to each branch did not show significant differences along the myeloid, erythroid, and ...
There are two main types of ANOVA: (1) "one-way" ANOVA compares levels (i.e. groups) of a single factor based on single continuous response variable (e.g. comparing test score by 'level of education') and (2) a "two-way" ANOVA compares levels of two or more factors for mean dif...