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What are the types of error in science experiments?

experimental, mechanical, and human


How are the personal error and random error minimized?

Personal error can be minimized by providing proper training and clear guidelines to the individuals involved. Random error can be minimized by increasing sample size, repeating experiments, and using precise measurement tools.


Why do scientists use the data from controlled experiments?

To ensure results are of optimal percent error, scientists must manipulate only one variable. Therefore, they use controlled experiments.


Do all experiments have experimental errors?

Of course. No readings can be made without some error.


What is it called when scientist test their experiments more then once to prevent errors?

trial and error


What is the term used for scientists repeating their experiments in order to reduce error chance?

Repeat testing


What is is quantitative analysis?

Experiments are often likely to contain errors. Quantitative error analysis means determining uncertainty, precision and error in quantitative measurements.


What is quantitative analysis?

Experiments are often likely to contain errors. Quantitative error analysis means determining uncertainty, precision and error in quantitative measurements.


How can errors be corrected in experiments?

Errors in experiments can be corrected by identifying the source of the error, such as equipment malfunction or human error, and then implementing corrective actions. This can involve recalibrating equipment, double-checking procedures, or repeating the experiment to confirm results. It's important to document any errors and their corrections to ensure the reliability of the experimental data.


Why are a large number of offspring needed to get accurate results in genetic experiments?

Large number can reduce the error. It gives a sharper result


Why must controls such as plant given water only be used in the fertilizer experiments described in the study guide?

to elliminate soures of error


The ratio of an error to an accepted value is called what?

The ratio of an error to an accepted value is called the relative error. It is a measure of how large the error is compared to the accepted value. By expressing the error relative to the accepted value, it allows for a standardized comparison between different measurements or experiments.