false
Error
There are only four steps. Those steps are:1. scientific-method: Consider the problem and try to make sense of it. Look for previous explanations. If this is a new problem to you, then move to step 2.2. scientific-method: When nothing else is yet known, try to state an explanation, to someone else, or to your notebook.3. scientific-method: If you assume 2 is true, what consequences follow?4. scientific-method: Look for the opposite of each consequence in order to disprove 2. It is a logical error to seek 3directly as proof of 2. This error is called affirming-the-consequent.scientific-methodRead more: scientific-method
to make careful observations (got this off a study guide at school haha)
Absolutely, the scientific method is the very backbone of experimenting and only through experimenting can scientists make discoveries. The scientific method is necessary to ensure validity, and reliability, without it we can't trust the results to be accurate or reliable.
In a scientific experiment, a source of error is something that could have caused you to obtain an incorrect result. Example: You are performing an experiment to see how much 30 liters of water weigh. If you accidently pour 32 liters of water when you meant to pour 30, that would be a source of error, because it would give you the incorrect result.
human error.........
error
acceptable error level
There can be no set value. An acceptable level of sampling error for a company making high precision machine parts is likely to be very different from the sampling error for household incomes, for example.
Error
i think between 1% to 5% is acceptable
It is 48.5
Only a single protein will be affected by an error.
error
An acceptable error range depends on the application. For example, a 5-10% error range on political polling is commonly accepted as reasonable. A similar rate for surgical error would be appaling and targets tend to be in the 0.1-1% range.In general, an error range of 5%-35% is acceptable, with 0-5% being exceptionally good, and over 35% meaning the data is unreliable or chaotic.
Law of averages..
Somthing in an experiment that could be avoided with care