作者: Hollylynne S. Lee
DOI: 10.1007/978-3-319-72871-1_6
关键词:
摘要: This paper uses theoretical and empirical perspectives to articulate what learners should understand about a repeated sampling approach inference that emphasizes process of randomizing data, repeating through simulation, rejecting any model with observed data in the extreme distribution does not fit model. Key probability concepts, such as distributions, are identified discussed why how they can assist developing richer understandings capabilities inference.