
(a)
Interpretation:
The mean of the ratio of number of atoms of the isotopes of
Concept Introduction:
Mean:
The Mean or the arithmetic mean (
To Calculate: The mean of the ratio of number of atoms of the isotopes of
(b)
Interpretation:
The standard deviation of the ratio of number of atoms of the isotopes of
Concept Introduction:
Standard deviation:
Standard deviation measures how closely the data are clustered about the mean.
The standard deviation (s) is given by the formula:
To Calculate: The standard deviation of the ratio of number of atoms of the isotopes of
(c)
Interpretation:
The variance of the ratio of number of atoms of the isotopes of
Concept Introduction:
Variance:
The square of the standard deviation is called the variance.
To Calculate: The variance of the ratio of number of atoms of the isotopes of
(d)
Interpretation:
The standard deviation of the mean of the ratio of number of atoms of the isotopes of
Concept Introduction:
Standard deviation of the mean:
Standard deviation of the mean of sets of n values is:
To Calculate: The standard deviation of the mean of the ratio of number of atoms of the isotopes of
(e)
Interpretation:
The mean and standard deviation has to be written together with appropriate number of significant digits.
Concept Introduction:
Significant Figures:
While reporting a reading of a measurement, the digits that are considered to be significant irrespective of the place of location of decimal point are called significant figures.
All the digits in a measurement except zero are considered significant, whereas zero is considered as significant only when it lies in the middle of the digit or at the end of number on the right-hand side of a decimal point.
To Write: The mean and standard deviation together with appropriate number of significant digits.

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Chapter 4 Solutions
Solution Manual for Quantitative Chemical Analysis
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