Question

In data analytics, a pattern is defined as a process or set of rules to be followed for a specific task.a. trueb. false

Answer 1

The statement is false; in data analytics, a pattern involves identifying regularities or trends in data, not a set of rules for a task. Patterns are seen in various fields, such as art and biology, and in probability through distribution functions.

Step-by-step explanation:

In data analytics, the statement that a pattern is defined as a process or set of rules to be followed for a specific task is false. Instead, a pattern refers to the way something is organized and repeated in its shape or form. Patterns can also refer to the identification of regularities or trends in data, which is a crucial aspect of data analysis. For example, a probability distribution function is considered a pattern because it helps to model and solve problems in probability by fitting data into a known distribution, which has unique characteristics allowing for the calculation of probabilities. In the context of biology, recognizing patterns might involve analyzing data to discern relationships in a biological system, whether among biotic or abiotic factors or within populations, communities, or ecosystems.

Answer 2

The statement that a pattern in data analytics is a set of rules for a specific task is false. A pattern is the recognition of repeated sequences in data.

Step-by-step explanation:

In data analytics, the statement that a pattern is defined as a process or set of rules to be followed for a specific task is false. In actuality, a pattern in data analytics refers to the recognition of repeated or discernible sequences within the data which may indicate trends, correlations, or insights that can inform decisions or predictions. Patterns are often identified through the process of data analysis, where various techniques are applied to detect recurrent themes or relationships within the datasets. This concept of patterns is also critical in other fields such as art, biology, and probability, where it represents how elements are organized and can provide a sense of unity or predictability.