the mean, and the precision signified show well the various measurements performed by same instrument on the same quality characteristic agree with each other. The difference between the mean of set of readings on the same quality characteristic and the true value is called as error. Less the error more accurate is the instrument. SENSITIVITY Sensitivity may be defined as the rate of displacement of the indicating device of an instrument, with respect mn to the measured quantity. In other words, sensitivity of an instrument is the ratio of the scale spacing to the scale division value. For example, if on a dial indicator, the scale spacing is 1.0 mm and the scale division value is 0.01 mm, then the sensitivity at any value of y=dx/dy, where dx and dy are increments of x and y, taken over the full instrument scale, the sensitivity is the slope of the curve at any value of y. The sensitivity may be constant or variable along the scale. In the first case we get linear transmission and in the second non-linear transmission.. Sensitivity refers to the ability of measuring device to detect mall differences in a quantity being measured. High sensitivity instruments may lead to drifts due to thermal or other effects, and indications may be less repeatable or less precise than that of the instrument of lower sensitivity. …show more content…
The distinction between the precision and accuracy will become clear by the following example. Several measurements are made one component by different types of instruments (A, B and C respectively) and the results are plotted. In any set of measurements, the individual measurements are scattered about the mean, and the precision signified show well the various measurements performed by same instrument on the same quality characteristic green with each other. The difference between the mean of set of readings on the same quality characteristic and the true value is called as
In figure 2, the class mean calculated was 147.8kJ. The difference between the two measurements is 2,122.2kJ. This shows how low the accuracy for this experiment was. The macadamia nuts had a true energy value of 3040kJ per 100g. Looking back at figure 2, the class mean calculated was 224.4kJ which leaves a difference of 2,815.6kJ. Once again, a low accuracy. Lastly, the popcorn had a true energy value of 1910kJ. The class mean equalled to 144.1kJ. The difference between the class mean and the true value is 1,765.9kJ which shows this experiment being low in
A random error is caused by any factor which randomly affects the amount of scatter in the data. An increase in sample size allows averages to be calculated which reduces the effects of these random errors. By removing outliers in the data, the effect of random errors can be further minimised. A large amount of scatter in results indicated low precision and a large number of random errors. Some possible random errors in this experiment may have arisen when measuring the 12mL of milk solution for each test tube; some may have had slightly more and others slightly less than 12mL. Another random error could have occurred when adding 4 drops of methylene blue, some drops may have contained more liquid than others, meaning some test tubes may have contained less methylene blue indicator than
Possible sources of error in this experiment include the inaccuracy of measurements, as correct measurements are vital for the experiment.
In order to find out what are some of the key drivers’ of the analysis I will further run different sensitivity analysis. I think some of the key drivers of our assumptions could be sales growth, production costs as a percentage of sales, inventories as a percentage of cost of goods sold etc.
If we look at the sensitivity analysis, we find as WACC increases, the percentage of US$360M investment in Deltex also increases. When WACC is 5.8%, the percentage of US$360M investment in Deltex is equal to 30% equity of Deltex.
Reliable-Measuring what is actually intended to measure; not easy to manipulate; as objective and quantifiable as
Over the observed fifty seconds, there was a consistency among the temperatures. Without a calculated percent error, we are able to assume the average temperature was twenty-six degrees Celsius. There are factors that could have caused error to arise in our data collection. One factor could be that the temperature of the room was not consistent throughout the room. Another factor may have been the performance of the thermometer. The grasp in which the thermometer was held for procedure B may also be a factor.
In any science that requires computation, specifically in Chemistry, gathering measurements of various physical and chemical properties need to be strictly accurate and precise for it is in this most crucial phase that either make or break the quality and value of science. No matter how good the experiment was performed, without forethought on how to gather and process data correctly, the collected information would not be reliable enough to draw out a conclusion on it.
The sixth section is the sensitivity analysis that complements the DCF analysis. The sensitivity analysis assesses the impacts that changes in key inputs in the DCF analysis may have in the final share price of Chipotle.
proportional to each other. In this lab it was a good way to learn about error
Introduction: SI units and English units are a very important part of measuring around the world. English units, which are inches, is the most common unit of measure in America. SI units, which are centimeters, are most commonly used in Europe. These units can help us measure many things such as the length of a book or a piece of wood. In this lab, we had to determine the length of 10 lines in inches and in centimeters. We did this so we can find the slope of our measurements and to find the percent error. Percent error is a statistic that is used to determine how far an observed value deviates from the true value. The formula for percent error is the absolute value of the observed value (the value you get when conducting the experiment) minus the accepted value (which is the value that we already know) over the accepted value multiplied by 100. This lab also gives us a better understanding on how to measure using SI and English units and why they are important.
When recording a measurement it is important to remember that every measurement is a comparison or estimate to a standard. Therefore, the measurement will always possess some type of random error.
... point was subjective; however it would have been a systematic error because I consistently judged the end point of my experiment. To eliminate this inaccuracy I should have used a colorimeter to judge the end point of my experiment.
...t of the resonance angle with a change in the refractive index of the sensing layer can be used to determine the sensitivity of SPR sensor. The sensitivity of sensor is increasing if the shifts in resonance angle for a given refractive index change increase as shown in figure ggggg. The sensitivity of SPR sensor is defined as
Any measure is just estimation and there should be inaccuracy. In order to increase the accuracy of the measurement, machines can be used instead of taking measurement by human. For example, machine can be used to detect the water level in the manometer instead of judging by human eyes. We can also assign more people to take the reading and take the average to increase the reliability of the