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Mott cells with Russell bodies (red arrows), compared to an almost normal plasma cell (white arrow; it has a prominent nucleolus). Plasmacytoma with abundant Russell bodies. H&E stain. Dutcher and Russell bodies. H&E stain. Russell bodies are inclusion bodies usually found in atypical plasma cells that become known as Mott cells. [1]
Plasma cells with Dutcher and Russell bodies (H&E stain, 100×, oil) Plasma cells are large lymphocytes with abundant cytoplasm and a characteristic appearance on light microscopy . They have basophilic cytoplasm and an eccentric nucleus with heterochromatin in a characteristic cartwheel or clock face arrangement.
The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4] The parameters used are:
[15] [16] But if the p-value of an observed effect is less than (or equal to) the significance level, an investigator may conclude that the effect reflects the characteristics of the whole population, [1] thereby rejecting the null hypothesis. [17] This technique for testing the statistical significance of results was developed in the early ...
In statistical process control (SPC), the ¯ and R chart is a type of scheme, popularly known as control chart, used to monitor the mean and range of a normally distributed variables simultaneously, when samples are collected at regular intervals from a business or industrial process. [1]
Exact tests that are based on discrete test statistics may be conservative, indicating that the actual rejection rate lies below the nominal significance level . As an example, this is the case for Fisher's exact test and its more powerful alternative, Boschloo's test. If the test statistic is continuous, it will reach the significance level ...
The chart portion of the forest plot will be on the right hand side and will indicate the mean difference in effect between the test and control groups in the studies. A more precise rendering of the data shows up in number form in the text of each line, while a somewhat less precise graphic representation shows up in chart form on the right.
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