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What does data involve most?

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Anonymous

11y ago
Updated: 11/19/2022

numbers

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Elmer Russel

Lvl 9
2y ago

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Do measurements used in data collection involve the use of mathematics?

measurements used in data collection involve the use of mathematics


Why is mathematics used in calculating data?

Most data collecting involves making measurements that are in numerical form and involve calculations.


What is the personal protective equipment used in data center?

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What privileges for data involve establishing who can enter new data change existing data delete unwanted data and view data?

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What are the objectives of data processing?

The objective of data processing is to convert data into knowledge. Data processing can involve sorting, validating, and summarizing data into useful information.


What are the three primary data gathering methods?

The three primary data gathering methods are surveys, observations, and interviews. Surveys involve asking individuals a set of questions to collect information. Observations involve watching and recording behaviors or events. Interviews involve direct communication with individuals to gather data.


What is comparative investigative?

Involve collecting data collecting data on a different population organisms, under different conditions.


Will becoming a lawyer involve working with data people or things?

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What is data reduction in terms of data mining?

Data reduction in data mining refers to the process of reducing the volume of data under consideration. This can involve techniques such as feature selection, dimensionality reduction, or sampling to simplify the dataset and make it more manageable for analysis. By reducing the data, analysts can focus on the most relevant information and improve the efficiency of their data mining process.


How does computer data processing work?

Computer data processing can involve many different activities. One of the most common things it does is compute data to come up with an end result. This may include working on a set of problems and finding the solution.


Why is it difficult to collect accurate data on starvation?

It is difficult to collect accurate data on starvation because it is unethical to conduct controlled studies that involve starving people or animals. Most data on starvation are collected retrospectively (after the fact). This makes them subject to many types of error and bias.


What is the difference between coarse-grained and fine-grained approaches in data analysis?

In data analysis, coarse-grained approaches involve looking at data at a high level, focusing on general trends and patterns. Fine-grained approaches, on the other hand, involve analyzing data at a more detailed level, looking at specific data points and relationships.