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Accurate data is important because if someone tried to go off the outcome of your experiment with incorrect results then it could harshly effect their own experiment. It creates a domino effect. If one person goes off your false data then other people could go off theirs so on and so forth...

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11y ago

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How is data from an experiment are analyzed?

Why is it important to have an accurate data in a experiment?


What is an observation and measurements recorded during an experiment?

The observations and measurements recorded during an experiment are called data. It is important to keep accurate data in order to understand the results of the experiment.


Why is having accurate data during the developement and testing of a rheory?

Having accurate data in development and testing is important because it is what helps analysis issues. This is what makes things better.


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Accurate data is information that is correct.


Why observation is important during case work?

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The reliability of Statistic Brain data in providing accurate and trustworthy statistics varies. It is important to verify the sources and methodology used by Statistic Brain to ensure the credibility of the data.


Why is an average or mean important?

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Deferent betbeen data and information with suitable examples?

data is not accurate.. where information is so accurate


Why are good observations important to a scientific investigation?

Because good observations ensure accurate data and valid conclusions.


What is the most important part of data collection?

The most important part of data collection is ensuring the accuracy and quality of the data being collected. This involves following proper protocols, using reliable sources, and validating the data to ensure it is valid and reliable for analysis.


Explain GIGO and their importance?

GIGO stands for "Garbage In, Garbage Out." This concept is important in computing, as it refers to the idea that data that is input into a computer system must be valid and accurate in order to produce accurate results. If bad data is entered, the output will be incorrect. In short, the quality of the output is only as good as the quality of the input. Therefore, it is important to ensure that the data that is being entered into a computer system is valid and accurate in order to produce reliable results.


What does it mean if data are reproducible but not accurate, and how does this impact the reliability of the findings?

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