Shuguang 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.216-228.
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...
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. ...
Question: 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 charac...
We suggest that ANOVA can be used for the comparison of the mean score of an individual with that of a group of controls, but that when there is a difference in variability between the two groups, revised F criteria should be used in order to make the analysis reliable. A table of ...
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In The Logic of Scientific Discovery, Popper suggested two grounds for comparing degrees of testability [1959, chapter 6]. The first was a subclass relation. For instance, the theory that planets move in circles around the sun is a subclass of the theory that they move in ellipses, and henc...
Indicate whether and how any allowance or adjustments were made for multiple comparisons (performing multiple hypothesis tests on the same data). 8. If relevant, report how any outlying data were treated in the analysis. 9. Say whether tests were one- or two-tailed and justify the use of on...
Statistical significance is a conclusion that a set of data is not the result of chance but can instead be attributed to a specific cause. Statistical significance is vital for professionals in any field that relies on the analysis of data, including economics, finance, investing, medicine, physi...
regardless of direction, you'll want to use a two-tailed test. This is often the default choice in research when you want to ensure that your analysis captures any significant findings, whether they go in the expected direction or not. Here are examples of hypotheses suited for a two-tailed...