Question

Could rely heavily on models to analyze data?

Answer 1

❤ HERE IS YOUR ANSWER ❤

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⭐Statistical models are usually presented as a family of equations (mathematical formulas) that describe how some or all aspects of the data might have been generated. Typically these equations describe (conditional) probability distributions, which can often be separated into a systematic component and a noise component. Both of these components can be specified in terms of some unknown model parameters. These model parameters are typically regarded as unknown, so that they need to be estimated from the data. For a model to be realistic and hence more useful, it will typically be constrained to honor known or assumed properties of the data. For example, some measurements might always be positive or take on values from a discrete set.




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❤HOPE IT HELPS YOU❤

Answer 2

no..well...we can't fully rely ...we have to understand the things and then rely on... this ll help us in difficult situations too.. when the answer comes out of our notebook questions...



hope it helps
please mark it as brainliest