The half-life should be similar to the age of the object.
The sample must contain radioactive elements.
The assumptions needed for radiometric dating to be useful and reasonably accurate are:
The first assumption must be supported for each analysis by assessment of the object to be dated, and must be maintained throughout the analysis through the use of appropriate procedures to prevent contamination or loss.
The second assumption is basic to our current understanding of the universe.
Radiometric dating is a sophisticated science, and requires complex equipment. There are many different decay processes used for dating.
Taking K-Ar as an example, the sample must be selected from a rock believed to be representative of the geological process being investigated.
From this, commonly a mica would be selected for the actual measurement, for mica is one of the last minerals to form from the metamorphic melt, and is thus regarded as an 'end-point' mineral as far as dating is concerned.
From part of the sample the Ar component is extracted - necessarily done under careful conditions; and from another part of the sample,the K is extracted, and the proportion of K in the sample is determined to an accuracy of about 1%.
In the actual radioactive decay, about 90% of the time, the decay is to 40Ca, and in the other 10% of the time into 40Ar. There is a third more rare decay. The realistic assumption is that all the 40Ar originated as 40K.
Fundamentally Ar is a noble gas, and thus does not form compounds, and the radiometric Ar will remain entrained in the mineral matrix over the life of the process. The half-life of the 40K to40Ar is about 1.25x109 years, so it is particularly well suited to geological studies.
Other radiometric decays use the actual signature of the decay process as the measure of that event. So commonly will use detectors that are calibrated to look for x-rays of a particular energy.
An accurate radiometric date can be obtained only if the mineral remained in a closed system during the entire period since it's formation.
A fair test is important so you can get accurate and unbiased results.
The observations and measurements recorded during an experiment are called data. It is important to keep accurate data in order to understand the results of the experiment.
A hypothesis is a proposed explanation of something. These are important because it helps test different ideas and theories for research to get more accurate results.
A scientist must make accurate observations because usually these results are going to be communicated to others. Some people might even want to do the same experiment so you have to give the right directions before something bad happens. However, though, in experiments, scientists repeat their trails for more accurate results.
To report accurate results.
To provide accurate and clear results.
Accurate measurements help allow for accurate results in cooking. A perfect example is in baking.
A fair test is important so you can get accurate and unbiased results.
Accurate measurements help allow for accurate results in cooking. A perfect example is in baking.
Very, the more accurate the the measurements the more accurate the results, thus furthering more accurate tests down the road based on said results. The more tests you do on bad results the further off the results get with every test you do. Changing the independent of the test with bad measurements would void a result.
We retest our experiments to insure accurate results and to compare with our original results.
To make sure what you publish is correctly, and to provide crosscheck of your methods and results.
A lack of accurate results APEX :D
(Apex Learning) A higher sample size gives more accurate results.
The observations and measurements recorded during an experiment are called data. It is important to keep accurate data in order to understand the results of the experiment.
This is simply important in order to have accurate staining results. If this is not followed, the process of the staining will result to false positives or false negatives.
A hypothesis is a proposed explanation of something. These are important because it helps test different ideas and theories for research to get more accurate results.