but my concern is about the remaining 90% shots, where will they land? any probability equations that can predict? thxSvein said:I suspect it is "meaningless number used by salespersons". In my opinion 10% accuracy would mean that with the gun in a vise (or whatever gunsmiths use), 10% of the shots would hit the bulls-eye. Which is pretty bad if you ask me.
Well, i assume they will hit something in front of the gun. You can assign any probability distribution you want, but it will be meaningless until you have data.sunmaggot said:but my concern is about the remaining 90% shots, where will they land? any probability equations that can predict? thx
sunmaggot said:I want to ask a strange question. When the gun has 10% accuracy, what does 10% mean? I mean it doesn't really tell me anything. How large is the area the bullets spread if the gun has 10% accuracy? I have already attempted to find articles in google, and I still didn't get the answer about the relationship between spreading area and accuracy value.
oh I see, what I was thinking about is way more complicated though. Say a gun can shoot 2 bullets at the same time, with what accuracy of the gun will it hit a target with area A in the most accurate manner. each bullet will go into the direction according to the probability. Any idea for this...? thxSvein said:Well, i assume they will hit something in front of the gun. You can any probability distribution you want, but it will be meaningless until you have data.
10% accuracy means that the actual value of a measurement or calculation can deviate from the reported value by up to 10%. This means that the reported value is within 10% of the true value.
Understanding accuracy is important because it allows us to determine the reliability and validity of data. It helps us evaluate the precision and limitations of a measurement or calculation.
Accuracy refers to how close a measurement or calculation is to the true value, while precision refers to how close a series of measurements or calculations are to each other. A measurement can be precise but not accurate, or accurate but not precise.
Yes, accuracy can be improved by using more precise instruments, calibrating instruments regularly, and reducing sources of error in the measurement or calculation process.
Accuracy may be defined differently in different fields of study, but the general concept remains the same. In fields such as science and engineering, accuracy is often defined as the percentage of error between the reported value and the true value. In fields such as statistics and market research, accuracy may refer to the level of confidence or margin of error in a data set.