Reliable data is trusted data that can be used without doubt. Replicable data is data that is allowed to be copied or can be duplicated.
So they can be sure that the data they are releasing to the rest of the scientific community and world is actually correct.
A conclusion or assertion would be considered to be scientifically valid if the data are accurate and the reasoning based on that data is, as far as we can tell, correctly reasoned. Science does not deal in absolute truth, which is why scientists prefer the term valid, which indicates that as far as we presently know, this statement is true, although new data and/or new reasoning may cause us to change our minds in the future.
With controlled experiments it is taken into consideration what possible variables there could be and it is taken into account when conducting the experiment. This would mean that controlled experiments would produce more valid data.
How is this relevant to the study?I need to find all the relevant data.
The data that UCPs are designed to provide for is reliable, valid, comparable, and objective.
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.
what are three features of reliable data?
You can provide support for claims and add credibility to your writing by citing reputable sources, expert opinions, data, statistics, and evidence from relevant studies or research. It is essential to ensure that the sources you use are reliable, current, and valid to strengthen your arguments and persuade your audience.
It is data you can trust
Reliable data is trusted data that can be used without doubt. Replicable data is data that is allowed to be copied or can be duplicated.
Collecting data involves identifying the relevant information needed, designing a data collection method (like surveys, interviews, or observations), gathering the data using the chosen method, and storing the data in a structured format. It is important to ensure data collection is done systematically and ethically to obtain accurate and reliable data for analysis.
So they can be sure that the data they are releasing to the rest of the scientific community and world is actually correct.
A conclusion or assertion would be considered to be scientifically valid if the data are accurate and the reasoning based on that data is, as far as we can tell, correctly reasoned. Science does not deal in absolute truth, which is why scientists prefer the term valid, which indicates that as far as we presently know, this statement is true, although new data and/or new reasoning may cause us to change our minds in the future.
Before making a prediction, it is important to gather and analyze relevant data, consider potential variables and biases that may impact the prediction, and clearly define the objective and assumptions underlying the prediction. Additionally, ensuring that the prediction is based on a reliable and valid model or methodology can help improve the accuracy of the prediction.
it is quantitative
With controlled experiments it is taken into consideration what possible variables there could be and it is taken into account when conducting the experiment. This would mean that controlled experiments would produce more valid data.