Yes, you can compare a known quantity with an unknown quantity in making measurements by using the known quantity as a reference point to determine the value of the unknown quantity. This comparison can help provide a basis for estimation or calculation in determining the value of the unknown quantity.
On the contrary, making measurements is an essential aspect of gathering data. Measurements provide quantitative information that allows for the collection and analysis of data. Without accurate measurements, it is difficult to obtain reliable data for decision-making or research purposes.
Measurements provide objective and quantitative data, making it possible to accurately analyze and compare results. They ensure consistency and reliability in data collection, allowing for meaningful interpretations and conclusions to be drawn. Additionally, measurements help to track changes over time and make informed decisions based on the data collected.
A bar graph is typically the best illustration of size or quantity differences because it uses the length of bars to represent the values being compared. The height or length of each bar directly corresponds to the value it represents, making it easy to visually compare the quantities.
Making measurements every five minutes is an example of collecting data at regular intervals or time points. This approach can provide a detailed and consistent picture of changes or trends over time.
Accuracy of measurements in the lab is crucial because it ensures the reliability and validity of experimental results. Accurate measurements help in drawing correct conclusions and making informed decisions based on the data collected. Inaccurate measurements can lead to erroneous interpretations and wasted resources.
A quantity surveyor.
Making careful sketches and Taking careful measurements
On the contrary, making measurements is an essential aspect of gathering data. Measurements provide quantitative information that allows for the collection and analysis of data. Without accurate measurements, it is difficult to obtain reliable data for decision-making or research purposes.
Write down any two mathematical expressions, making sure that at least one of them contains an unknown quantity, and write the statement saying that they're equal to each other.
Measurements provide objective and quantitative data, making it possible to accurately analyze and compare results. They ensure consistency and reliability in data collection, allowing for meaningful interpretations and conclusions to be drawn. Additionally, measurements help to track changes over time and make informed decisions based on the data collected.
to get the right measurements of ingredients for making more or less of what you are cooking
Empirical
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Observation
To compare the difference of two thermometers measuring the same environment (or substance) at the same time is (a) to compare the accuracy of the instruments and/or (b) to compare the method/type of thermometer.Examples: (a) you could have an instrument (thermometer) that is known to be accurate and another which you are testing the accuracy of. You could have two types of thermometers such as (b1) a Mercury in glass thermometer and bi-metal spring thermometer. Or perhaps you have the sense that one thermometer covers your effective range of temperatures better than the other (b2). Perhaps you are concerned with how long it takes for the second thermometer to equilibrate. Or perhaps the second thermometer is a digital thermometer which you are using to check and calibrate your volumetric alcohol thermometer (b3). Importantly, (c) making multiple measurements allows you to average the measurements and find if they vary much from one another (measured by standard deviation, or standard error--look up these technical terms or read on to be reminded in brief).(c) If you are making multiple measurements, you can calculate the mean of the measurements (the mean of two measurements is the sum of the two measurements divided by two) and the standard error (which, in the case of two measurements, would be the square root of the difference of the measurements). In the case of n measurements, the mean ("n_bar") would be the sum of the n measurements divided by n, and the standard error would be the square root of the sum of the squares of the differences between each measurement and n_bar, divided by n-1. The mean is simply the average, and the standard error is a measure of the spread of the measurement, or the accuracy of the group of measurements.It is very often the business in science to make many measurements and keep track of means and errors, so that the variance in results is understood, and indeed whether there should be a variance. For example, one may expect the temperature to vary with respect to time or unknown factors. Temperature is known to vary at a particular location as a function of time of day (colder at midnight than it is at noon). On the other hand, there should be no variance as the measurement is of a quantity which is assumed to be constant, like the freezing temperature of pure water at a given pressure. If your measurement varies from a known quantity, you can readily compute the absolute error. If your (multiple) measurements of temperature vary from each other, you can readily compute the relative error. Only then would you be able to scientifically report your results.
Pakisthan
they are making a transformers 4 name unknown.