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Though there are many approximate solutions (such as Welch's t-test), the problem continues to attract attention [4] as one of the classic problems in statistics. Multiple comparisons: There are various ways to adjust p-values to compensate for the simultaneous or sequential testing of hypotheses. Of particular interest is how to simultaneously ...
Figure 1. Probabilistic parameters of a hidden Markov model (example) X — states y — possible observations a — state transition probabilities b — output probabilities. In its discrete form, a hidden Markov process can be visualized as a generalization of the urn problem with replacement (where each item from the urn is returned to the original urn before the next step). [7]
The text is in small steps or larger chunks. After each step, learners are given a question to test their comprehension. Then immediately the correct answer is shown. This means the learner at all stages makes responses, and is given immediate knowledge of results. [2] [3] Anticipating programmed learning, Edward L. Thorndike wrote in 1912:
Question-answer pairs Question Answering 2020 [334] Nguyen et al. Vietnamese Multiple-Choice Machine Reading Comprehension Corpus(ViMMRC) A collection of Vietnamese multiple-choice questions for evaluating MRC models. This corpus includes 2,783 Vietnamese multiple-choice questions. 2,783 Question-answer pairs
The marking scheme is same as earlier i.e. for SCQs, +4 marks for correct answer and -1 marks for incorrect answer and 0 marks for not answered, and for numerical type questions, +4 marks for correct and -1 marks for incorrect. [5] JEE-Main, unlike JEE-Advanced, has a fixed exam structure and is not subject to change every year.
The above image shows a table with some of the most common test statistics and their corresponding tests or models.. A statistical hypothesis test is a method of statistical inference used to decide whether the data sufficiently supports a particular hypothesis.
The data type is a fundamental concept in statistics and controls what sorts of probability distributions can logically be used to describe the variable, the permissible operations on the variable, the type of regression analysis used to predict the variable, etc.
Use of the term in statistics derives from Sir Ronald Fisher in 1922. [2] Use of the terms consistency and consistent in statistics is restricted to cases where essentially the same procedure can be applied to any number of data items. In complicated applications of statistics, there may be several ways in which the number of data items may grow.