Question
Describe the assumptions on which non-parametric tests are based?
Answer :
Word Count : 201
Non-parametric tests are statistical methods that do not require the assumption of a specific population distribution, making them suitable for data that does not meet the assumptions required by parametric tests. These tests are primarily based on a few fundamental assumptions. First, non-parametric tests assume that the data can be ______ ________ ______ __________ __________ ______ _________ __________.
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______ ___.
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Non-parametric tests are statistical methods that do not require the assumption of a specific population distribution, making them suitable for data that does not meet the assumptions required by parametric tests. These tests are primarily based on a few fundamental assumptions. First, non-parametric tests assume that the data can be ______ ________ ______ __________ __________ ______ _________ __________.
__________ ____ _______ ___ ___ ____ ___ ___.
______ _____ ___ ______ ______ ___ ________.
___ ___ __________ _________ ________ ______.
_____ ___ ________ __________ ____ ____ _____ ________ ____ ________ ________.
__________ __________ _______ _____ _____ ____ ___ _________ ______ _______ ____.
________ ______ ___ _____ ___.
____ _____ __________ ________ __________.
__________ ________ ____ _________ _____ _________ _____ __________.
______ ____ _________ _________ ____ _____ ____.
_______ ___ _____ __________ __________ __________.
__________ ____ _____ ______ ____ _____ __________.
_______ ____ ________ ___ ____ __________ _______ _________.
__________ _________ _________ ______ ___ __________.
______ ______ ________ __________ ___ _____ ________ _________ ______ ________ _________ __________.
_____ ______ _____ ____ ____ ______ ___ ____.
___ _______ ______ __________ _____ _____ ________ ________ _________ _______.
_______ ________ ___ ____ _________ ______.
______ _____ _________ ____ _______ ________ ________ ________ ____ ________.
______ ___.
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