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Estimation

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Q: Useful When exact Data are not required?
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Useful when exact data is not required?

Estimation


What science term is defined as useful when exact data are not required?

Estimation


Why is it important to draw exact biological drawings of what you see in the microscope?

Your drawings need to be accuate in order to be useful. If they are not exact, your data and conclusions could be incorrect.


Why is union required in programming?

Not exactly required, but very useful when different sorts of data should be handled, like in a list of mixed numbers and strings elements.


Why are repeated trials required before accepting a hypothesis are true?

They're required because a group of scientist can put down false data. So this means that other groups have to be able to find the exact data that the other group of scientist did.


Why are data tables useful to scientists?

Why are data tables useful to scientists? It is Important for scientist to use data because data is what they use to write their observation


Is useful when the most common item characteristic or value of a data set is required a The mode b The median c The mean d None of these?

The mode


Why is a data base useful?

A database is useful because it provides a centralized system for storing, managing, and retrieving data efficiently. It helps maintain data integrity, enables data sharing among multiple users, enhances data security through access control, and supports complex queries and analysis.


How is customer data integration useful in retail sector?

How is customer data integration useful in retail sector


Why don't we have exact data about the Underground Railroad?

We don't have exact data about the Underground Railroad because we weren't there when it happened.


Why would it be useful to examine a country's balance of payment data?

why would it be useful to examine a country balance of payment data


How Data warehousing and Data Mining is useful in terms of MIS?

Data warehousing and data mining contribute to Management Information Systems (MIS) by providing a centralized location for storing and accessing data, enabling users to run complex queries and generate reports for strategic decision-making. Data mining techniques help uncover patterns and trends in the data, allowing organizations to gain valuable insights and make informed decisions based on the information retrieved from the data warehouse. Ultimately, these tools enhance the effectiveness of MIS by facilitating more efficient data analysis and interpretation.