Sentence examples for small sample of data from inspiring English sources

Exact(10)

But the study, and the New York Times' reporting, uses a small sample of data that leads to simplistic conclusions.

However, the higher order (>2) moment estimates from a small sample of data tend to be highly biased and uncertain.

When they looked at a small sample of data, they found two examples of calls from patients where targets had not been met but which had been wrongly classified as achieving targets.

What really surprised Dr Rockwell, though, was that the average time a bear spent chasing a bird before killing it was 25 seconds: more than double the period after which the chase is supposedly not worth the effort.Adapt, don't dieA closer examination of the admittedly small sample of data Dr Rockwell collected suggested two explanations for what is happening.

When constructing surrogate models, time/cost constraints make the designer frequently face the dilemma of whether to use a small sample of data obtained from, for example, high fidelity/computationally expensive computer simulations, or, a large one but with low fidelity values.

By following a cross-validation with bootstrapping approach, we showed that a very small sample of data is sufficient to calibrate our hybrid gravity model.

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Similar(50)

Science, of course, depends on drawing generalizations from small samples of data.

I encourage you to research various types of bias - there are hundreds - like clustering illusion, where you see larger patterns based on small samples of data (I describe this briefly in my last article).

Measures of laboratory-confirmed infection (Table A3) were less frequently reported and generally based on small samples of data at high risk for bias.

The evidence for this was weaker in Malawi which may be because most nets in Malawi originated from continuous distribution rather than from once off mass distributions as in Equatorial Guinea or it may be simply because of the smaller sample of data that was available from Malawi.

By having unequal population densities, bias could have been introduced in the results in that a smaller sample of data was collected in one province than in another hence more cases of childhood diseases were recorded in Mashonaland than in Matabeleland provinces.

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