Asked by Allen Hudson on Jun 30, 2024
Verified
Nonparametric tests are methods of inference that make no assumptions whatsoever about the nature of underlying population distributions or their parameters.
Nonparametric Tests
Statistical tests that do not assume the data being analyzed follows a particular distribution, often used when data doesn't meet the assumptions of parametric tests.
- Absorb the foundational elements and practical uses of nonparametric in contrast to parametric tests.
- Learn the reasons for choosing nonparametric tests instead of parametric tests under certain conditions.
Verified Answer
ZK
Zybrea KnightJul 05, 2024
Final Answer :
True
Explanation :
Nonparametric tests are indeed methods of inference that do not require any assumptions about population distributions or parameters. Instead, they rely on rank-based or distribution-free statistics to draw conclusions about differences or relationships between variables.
Learning Objectives
- Absorb the foundational elements and practical uses of nonparametric in contrast to parametric tests.
- Learn the reasons for choosing nonparametric tests instead of parametric tests under certain conditions.
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