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They would be the error analysis.

Q: What is the term used to describe calculations that can show how accurate an experimental value is?

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When you calculate results that are aiming for known values, the percent error formula is useful tool for determining the precision of your calculations. The formula is given by: The experimental value is your calculated value, and the theoretical value is your known value.

A rectangle has no value - experimental or otherwise. Its area has a value, its perimeter, its aspect have values.

Accuracy refers to how close a measured value is to an excepted value. Precision refers to how close a series of measurements are to one another For example, if your experimental value is 15.63 and your values are... 12.84 13.02 12.96 They would be precise because they are close to one another but not accurate because they're not even close to the experimental value

Experimental errors would cause the experimental value of specific heat capacity to be higher than the standard value.

Yes. Take, for example, the value of Pi. Pi is defined as the decimal equivalent of 22/7. 22/7 done manually is 3.142857 - which is accurate for most calculations. However - calculated by a computer, a more precise value can be obtained... The calculator built-in to Windowws produces the result 3.1415926535897932384626433832795

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The percentage error is how accurate your experimental values compared to the accepted value. The equation is: [(experimental value - accepted value) / accepted value] x 100

the answer is error or experimental error.

It is used to determine how accurate an experimental value is.

true value is something that is true and experimental value is some thing that has been experimental with

Accepted value refers to a measurement or quantity that is widely recognized or established as accurate, correct, or true. It serves as a standard reference point for comparison with other measurements or experimental results.

When you calculate results that are aiming for known values, the percent error formula is useful tool for determining the precision of your calculations. The formula is given by: The experimental value is your calculated value, and the theoretical value is your known value.

The theoretical value for a substance is based on precise calculations and assumptions, while the experimental value is determined through measurements in a real-world setting. Discrepancies between the two can arise due to experimental error, impurities in the sample, or incomplete reactions. These differences help scientists refine their understanding of the substance and experimental methods.

The difference between the experimental value and the accepted value is known as the experimental error. It helps to quantify how closely the experimental result matches the true value.

A rectangle has no value - experimental or otherwise. Its area has a value, its perimeter, its aspect have values.

Accuracy refers to how close a measured value is to an excepted value. Precision refers to how close a series of measurements are to one another For example, if your experimental value is 15.63 and your values are... 12.84 13.02 12.96 They would be precise because they are close to one another but not accurate because they're not even close to the experimental value

Precise value refers to an exact measurement or quantity without any ambiguity or rounding. It provides an accurate representation of the value being measured, ensuring that calculations or comparisons are as accurate as possible. This is often important in fields such as science, engineering, and finance where precision is essential.

The theoretical value is based on calculations and predictions made prior to the experiment, taking into consideration ideal conditions, assumptions, and factors. The experimental value is obtained through actual measurements during the experiment, which can be influenced by various sources of error such as equipment limitations, environmental factors, human error, or unknown variables. Discrepancies between theoretical and experimental values are common and can provide valuable insights into the accuracy and limitations of the theoretical model.