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It is important to make sure your random sample is random in order to make sure the results are accurate, and to prevent experimenter bias.
Accurate is an adjective, meaning precise, on target or exact.The archer was the most accurate of the competitors, and won the tournament easily.I want to make sure all these figures are accurate, can you double check them for me?
data integrity
tim dyche
to be accurate
A project data book is your most treasured piece of work. accurate and detailed notes make a logical and winning project. good notes show consistency and thoroughness to the judges and will help you when writing your research paper. Data tables ate also helpful. they may be a little 'messy' but be sure the quantitative data recorded is accurate and that units are included in the data tables. make sure you data each entry.
A project data book is your most treasured piece of work. accurate and detailed notes make a logical and winning project. good notes show consistency and thoroughness to the judges and will help you when writing your research paper. Data tables ate also helpful. they may be a little 'messy' but be sure the quantitative data recorded is accurate and that units are included in the data tables. make sure you data each entry.
You want to make sure you tell them that you are accurate when it comes to coding. You also want to make sure they know that you are fast, which is beneficial to the position.
repeat the test, i would do it 3 times. collect the same data. make sure it is a fair test. and then get the mean of the end data to get the most accurate answer.
To make sure they are accurate.
Accurate data is information that is correct.
to find accurate information
to make sure your results are accurate.
Data integrity is important because it ensures that data is accurate, consistent, and trustworthy. It helps organizations make informed decisions based on reliable information and prevents errors or discrepancies that can lead to costly mistakes. Maintaining data integrity also helps to build trust with customers, partners, and stakeholders.
data is not accurate.. where information is so accurate
It is important to make sure your random sample is random in order to make sure the results are accurate, and to prevent experimenter bias.
To provide an accurate answer on WikiAnswers, the most important thing is to make sure the answer is correct and verifiable. Do some research to make sure. Also, even if you don't do research and know the answer off the top of your head, make sure you explain your answer, and don't simply make it one word long.