Examples of using Sample size in English and their translations into Hebrew
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Colloquial
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Ecclesiastic
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Computer
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Programming
Sample size.
We have a sample size of 4.
Sample size.
Thus, the sample size is 1.
Shall we increase our sample size?
Sample size is too small to be significant.
Hard to tell based on sample size.
Small sample size, but still rather significant.
Albeit with a very small sample size.
I agree that the sample size the study used was small.
If so, what was the sample size?
Sample size: 10 mg samples in 10 ml fluid.
Maybe we didn't get a big enough sample size.
(2) What sample size would you recommend for this experiment?
Combine these limitations with a N=15 sample size, and we can't conclude anything.
The sample size is insufficient, so I need to do an open procedure.
Professor Dauvillier, a Professor of Cosmic Physics at the College of France,replied that the correlation was a result of insufficient sample size.
When it comes to sample size, bigger is usually better.
Sample size was set to detect a 4% difference(57% risk reduction) between treatment groups.
IV Evidence inadequate owing to problems of methodology(e.g. sample size, or length or comprehensiveness of follow up or conflicts of evidence).
The sample size required for this study to be statistically significant is 100.
While there have been many studies of its potential usefulness,many of these studies provided mixed results because of design, sample size, and other factors.
This massive sample size enabled them to form a huge number of post-stratification groups.
The sample size is small(3 sites), but all three split tests agreed on the following factors: 1.
Even if you have a sample size of 10 or 20, you're already getting very close to a normal distribution.
The sample size of the MyHeritage DNA database varies in each country, with nearly one million test-takers in the USA.
As you might imagine, sample size will become a bigger issue when we move from page views to registrations.
But as the sample size increases, the same RCT may be able to demonstrate a significant effect of the treatment, even if this effect is small.[50].
It depends on the sample size in each group, the average variation within the groups, and the total number of groups.
In other words, their huge sample size, which was enabled by low-cost data collection, enabled them to make a more plausible assumption in their estimation process.