Taking the average of more measurements decreases random error of measurement
Taking the average of many measurements is the most effective way to reduce random errors in a measurement. Because the certainty of the results grows as the number of data does, Less risk of random errors means that the value is more certain. Fewer measurements lead to less reliable data collection, which raises the likelihood of random errors.
The complete question is
Which procedure(s) decrease(s) the random error of a measurement: (1) taking the average of more measurements: (2) calibrating the instrument; (3) taking fewer measurements? Explain
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Answer:
I think it is covalent bonding...
Explanation:
The bonding is covalent in homonuclear diatomic molecules. Each atom in the molecule has the same electronegativity, which means electrons are shared equally between the two. The electronegativity of the atoms in heteronuclear diatomic molecules varies, and these molecules have polar covalent bonds. A dipole is formed when a molecule interacts with another molecule. (i think it's covalent bonding but i might be wrong)
hope this helps...
Answer:
x=170
The question is asking you to add them together to get your unknown number