Millikan's measurements of the elementary charge using his oil drop experiment are still considered accurate today, with only minor differences due to improvements in experimental techniques. His value is very close to the currently accepted value of the elementary charge.
The measurements can be said to be "near enough" (depending on how accurate the results must be).I would take the average of the four times the measurements were recorded.
A meter bridge is used in some cases for precise resistance measurements. It can be more accurate than using a voltmeter and ammeter because it eliminates errors from contact resistance and internal resistance of the instruments. This method allows for more accurate determination of resistance by comparing two resistance values directly.
Lighter and heavier are relative terms that lack specificity and precision in measurements. They do not provide enough information about the actual weight of an object in comparison to a standard unit of measurement. In scientific or technical contexts, using precise measurements or numerical values is preferred for accurate communication.
Accuracy refers to how close the measured value is to the true value, while precision refers to how close the measured values are to each other. A measurement that is both accurate and precise will be close to the true value and have very little variation among repeated measurements. Accuracy can be evaluated by comparing the measured value to a known standard, while precision can be assessed by determining the consistency of repeated measurements.
Observations recorded as measurements are quantifiable data obtained through the use of tools such as rulers, thermometers, scales, and timers. These measurements provide numerical values that can be compared, analyzed, and used for further calculations or interpretations.
The difference in measurements was approx. 0,6 %.
Different people or organizations may have made slightly different measurements. Measurements are never 100% accurate.
The measurements can be said to be "near enough" (depending on how accurate the results must be).I would take the average of the four times the measurements were recorded.
Measurements in data collection are quantitative values obtained through specific mathematical procedures or instruments. These measurements are crucial for generating accurate and meaningful data. They can include variables such as length, weight, temperature, time, and other numerical values that help in analyzing and interpreting the collected data.
because different people may have made slightly different mesurements. measurements are not 100% accurate
I believe you meant to ask about the word "precise." Precise means exact, accurate, or defined with precision. It suggests an attention to detail and the use of specific measurements or values.
A meter bridge is used in some cases for precise resistance measurements. It can be more accurate than using a voltmeter and ammeter because it eliminates errors from contact resistance and internal resistance of the instruments. This method allows for more accurate determination of resistance by comparing two resistance values directly.
Blank titration is important because it helps to account for any impurities in the reagents or solvents used in a titration experiment. By subtracting the blank titration values from the experimental titration values, more accurate results can be obtained. It ensures that the measured values are reflective of the actual reaction occurring between the analyte and titrant.
For a set of measurements, the mean valueis the sum of all the measurement values divided by the number of measurements in the set.
Lighter and heavier are relative terms that lack specificity and precision in measurements. They do not provide enough information about the actual weight of an object in comparison to a standard unit of measurement. In scientific or technical contexts, using precise measurements or numerical values is preferred for accurate communication.
A collection of facts, such as values or measurements.
If you take a measurement multiple times, and get similar values each time, then the data is said to be very precise. If this group of data is very close to the expected value, then the data is said to be accurate. However, a set of data may be precise without being accurate if the measured values are all similar to one another, but not close to the expected value.