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Discover Ludwig"hypothetical distribution" is a correct and usable phrase in written English.
It is typically used when discussing potential or imaginary scenarios or outcomes. For example: "In order to understand the potential impact of the new policies, we created a hypothetical distribution of possible outcomes." This sentence implies that the distribution being discussed is not based on real data, but rather is a theoretical representation. Another example: "The scientist presented a hypothetical distribution of how climate change may affect different regions of the world." Here, the term is used to describe a prediction or projection based on data and research, but not yet proven to be factual. Overall, "hypothetical distribution" is a useful phrase when discussing speculative or theoretical concepts in a variety of fields, such as statistics, science, economics, and law.
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Figure 7.6 illustrates how a hypothetical distribution of this sort would differ both from the normal and power law distributions illustrated in figure 7.4.
The theoretical momentum distribution derived from the quantum state is supposed to coincide with the hypothetical distribution of outcomes obtained in an infinite series of repetitions of the momentum measurement.
Then, we explored potential truncations of this hypothetical distribution as a tool to hypothesize and test the effect of internal population processes on these population patterns [11].
This shows the (hypothetical) distribution of sample means centred around the population mean.
(A ) Hypothetical distribution of activity patterns in the space of spatial pattern components.
The first table shows the hypothetical distribution of subjects according to the predictors and outcomes (Table 1).
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Fig. 5 Hypothetical distributions of the neighboring preference indices (NPIs).
Note that these hypothetical distributions are not intended to be realistic, but only to clarify the point.
Figure 2 shows the avoidable deaths during follow-up estimated under the three explored hypothetical distributions of stage.
Such a situation is exemplified in the hypothetical frequency distributions depicted in Figure 2. Again, these hypothetical distributions are not intended to be realistic, but only to clarify the point.
In each iteration, Autoclass-C generates a number of hypothetical distributions with given parameters (e.g., means and variances) to which actual data are permutated and fit over a given number of cycles.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com