Data Science questions and answers latest 2024

Data Science Statistical Model - correct answer-A statistical model is a class of mathematical model, which embodies a set of assumptions concerning the generation of some sample data, and similar data from a larger population. A statistical model represents, often in considerably idealized form, the data-generating process. The assumptions embodied by a statistical model describe a set of probability distributions, some of which are assumed to adequately approximate the distribution from which a particular data set is sampled. The probability distributions inherent in statistical models are what distinguishes statistical models from other, non-statistical, mathematical models. A statistical model is usually specified by mathematical equations that relate one or more random variables and possibly other non-random variables. As such, "a model is a formal representation of a theory". All statistical hypothesis tests and all statistical estimators are derived from statistical models. More generally, statistical models are part of the foundation of statistical inference. Data Science - correct answer-Data science is an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured,[1][2] which is a continuation of some of the data analysis fields such as statistics, machine learning, data mining, and predictive analytics,[3] similar to Knowledge Discovery in Databases (KDD). Data science employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, operations research,[4] information science, and computer science, including signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pa