Examples of using Inferential in English and their translations into Chinese
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Inferential statistics asks,“What can I conclude?”?
Through descriptive statistics at AS and inferential statistics in A2.
Inferential Statistics: Drawing conclusions based on data.
In the previous chapter we began to develop ways of inferential thinking.
It is thus a matter of inferential logic that the trial process was unfair.
People also translate
Inferential statistics is inherently one or more steps removed from the data.
Prior suggested that this meant that inferential rules could not determine meaning.
Inferential statistics is inherently one or more steps removed from the data.
It's often hard to discuss descriptive statistics without mentioning inferential statistics.
Inferential statistics includes techniques to measure relationships between particular variables.
B-level topics include Historical Method, Inferential Statistics, Misspecification, and Mixed Design.
As always, inferential thinking begins with a careful examination of the assumptions about the data.
In proof-theoretical semantics a sentenceis identified by the set of all its proofs with a common inferential structure.
There is thus much that is indirect and inferential in nearly all the percipient acts of mature life.
It uses inferential analysis to draw conclusions about U.S. consumers based on data from a smaller sample of the population.
However, if the skill of driving can be translated into an algorithm,it will be because driving has a logical and inferential structure.
At the core of science is inferential reasoning: explanations, conclusions, or predictions based on what is known and observed.
However, despite an ever-increasing volume of work on SGD,much less is known about the statistical inferential properties of SGD-based predictions.
God, in this somewhat inferential and constructive thesis, is held to be the first cause of the world, and to be a personal God.
However, despite an ever-increasing volume of works on SGD,much less is known about the statistical inferential properties of predictions based on SGD solutions.
Secondly, Bayesian inferential framework allows providing estimates of model parameters and forecasts with measures of uncertainty.
Individuals with a great understanding of the rules of grammar or inferential logic, for example, are by definition skilled linguists and logicians.
Methods from inferential statistics can range from quite simple to wildly complex, varying also in their precision, abstractness, and interpretability.
Lectures emphasize the application of conventional descriptive and inferential analytical methods to spatial problems and their extensions to spatial analysis.
Typically, inferential statistics involves a statistical model that defines quantities, measurable and unmeasurable, and their relationships to each other.
Statistical techniques will include descriptive measures of central tendency, variation,and correlation and inferential tests including T-Testing and General Linear Models.
For instance, understanding inferential statistics will help you make general conclusions about everybody in a population from a smaller sample.
This course will start by reviewing descriptive and inferential statistics, and build up to applications of supervised and unsupervised machine learning.
In inferential statistics, the null hypothesis is a general statement or default position that there is no relationship between two measured phenomena….
Commonly, we think of inferential statistics as the estimation of quantities from the population distribution, such as the expected value or the amount of spread.