Improper calibration of the measuring instrument. If the measuring instrument is not at zero prior to measuring the object you will get a systematic error which, is a value either always higher or always lower then the actual value of the object.
Error as a percentage of full scale is established by multiplying the error percentage by the full scale flow. The less you flow through the device the less accurate the reading will be. For that reason, you don't want to get a larger device than you need. Devices with error expressed as a percentage of full scale are most accurate when flowing at full scale.Error expressed as a percentage of reading expresses error as a percentage of what the device is actually flowing. Simply, if a instrument's accuracy is rated to +/-1% of reading an instrument will be accurate to +/-1% of whatever the instrument is flowing. At 100SLPM the instrument will be accurate to within +/-1SLPM, and at 10SLPM of flow the unit will be accurate to within +/-.1SLPM.
A systematic error. This may arise because the measuring instrument is not properly calibrated or because there is a bias in recording the results.
please give me the answer of sources of error in person perception
1). Variation in sample eg. Age, Geographic etc. 2). Appropriate sample size
I'm not trying to minimize my error.
by just wiping them............................. don't it........................
The only way to minimize random error is to repeat the experiment more times to get a better average. This means your result is accurate but not percise
If the instrument being used is not calibrated or the instrument contains some error or bugs then reading obtained from such instrument would have some error. Such error arising because of the instruments preceding errors is termed as "Back-action Error".
limiting error in an instrument is the specification of accuracy within a certain% of a full scale.
The zero error helps in correcting the misreading you get from any instrument. It helps in maintaining the sensitivity of the instruments.
Zero error is necessary for measuring instruments for measuring accurate results because it helps to check that the instrument which we are using is whether correct or wrong
Improve response time, minimize human error, What_is_the_benefit_to_use_computer_aided_quality_control_in_industriestraceability and enforce standardization or compliance.
take repeated measurement
Survey error is the extent to which findings from the survey sample differ from those of the population of interest. The large nationally representative surveys discussed here are designed to minimize error. Nevertheless, it is impossible to eliminate all of the multiple potential sources of error. Investigators must identify and consider how potential survey error can bias the results of their analyses. Statistical strategies can minimize the impact of these potential sources of error on study findings.
If an instrument is indicating a wrong parameter instead of actual. Say the actual pressure is 1 bar but the instrument is reading 1.5 bar is an example of instrumental error.
The only way to minimize random error is to repeat the experiment more times to get a better average. This means your result is accurate but not percise