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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.
No because there are always experimental errors, instrument limitations, and deviations in measurements. This is called the uncertainty. Experimental values do not give true values but rather a value with an uncertainty.
Laboratory grade instruments give the most accurate values but are very expensive. Next is bench multimeters. High quality ones are also expensive, but less than laboratory grade instruments
Accepted values are often the average of many readings from many different experimental setups. Effects such as temperature or differences in the environment can have measureable effects, and your setup can be slightly different in subtle ways that affect your measurements. Electrical charges, pervasive magnetic fields, and other physical forces can change the actual effect or the accuracy of your instrumentation.
Use the molar masses for sodium (23g/mol) carbon (12g/mol), hydrogen (1g/mol) and oxygen (16g/mol). Add them together in the amounts indicated by the subscripts. Multiply the 3mol by this number and you have your mass in grams!(values are approximate, a good chemistry textbook will have more accurate values).
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.
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.
For a set of measurements, the mean valueis the sum of all the measurement values divided by the number of measurements in the set.
A collection of facts, such as values or measurements.
When theoritical and practical values are same it can be said that our measurment is accurate.
for any given whole number (46 in your example) there is are associated decimal values for it, usually written to display how accurately your measurements of that value are. These decimal values increase in powers of 10 as you move to the right of the decimal place. For example: the value of 1 is measured with an accuracy of 1/10000, so we shall write it as 1.0000 indicating that we are accurate to within 1/10000th of what we measured. In your example, the nearest 100th would be 2 decimal places away, or 46.00 indicating that your measurements are only accurate to within 1/100th of a unit.
No because there are always experimental errors, instrument limitations, and deviations in measurements. This is called the uncertainty. Experimental values do not give true values but rather a value with an uncertainty.