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error in the probability of the vs is the used precision

The two phrases are not directly comparable as they convey different meanings. The first phrase seems to refer to a mistake in a probability calculation, while the second phrase seems to inquire about the precision being used. Both phrases could be correct in different contexts, but they are not interchangeable.

Last updated: March 17, 2024 • 449 views

error in the probability of the

This phrase is correct and commonly used in the context of discussing mistakes or inaccuracies in probability calculations.

This phrase is used to indicate a mistake or inaccuracy in the probability calculation of an event or outcome.

Examples:

  • There seems to be an error in the probability of the event occurring.
  • The error in the probability of the outcome was due to a miscalculation.
  • We need to correct the error in the probability of the results.
  • Identifying the error in the probability of the data is crucial for accurate analysis.
  • The error in the probability of the model led to incorrect predictions.
  • Therefore, if the correlation was somewhere between 0.5 and 0.5 and we supposed it to be 0.0, the maximum error in the probability of the peak being reached ...
  • probability: minimize the error in the probability of the queries that is returned by the model. Fabrizio Riguzzi (). Probabilistic Logic Languages. 48 / 63 ...
  • Feb 9, 2015 ... As shown in Appendix C, infidelity leads to an addi- tive error in the probability of the verification protocols of [9] accepting an incorrect outcome.
  • slight error in the probability of the transitions to the dis- crete spectrum (of the order of several percent) alters sub- stantially the value of the denominator in (36) .

is the used precision

This phrase is not correct in English. It seems to be a fragment of a question that is missing some context or words.

  • where tol is the used precision by which the variables are calculated. The other matrix-elements of equation (9) are independent of h. Curves 1) and 2) in figure ...

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