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ERT 207 ANALYTICAL CHEMISTRY SIGNIFICANT FIGURES AND STANDARD DEVIATION LECTURE 4 13 JAN 2011 MISS NOORULNAJWA DIYANA YAACOB 1

ERT 207 ANALYTICAL CHEMISTRY SIGNIFICANT FIGURES AND STANDARD DEVIATION LECTURE 4 13 JAN 2011 MISS NOORULNAJWA DIYANA YAACOB 1

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ERT 207

ANALYTICAL CHEMISTRY

SIGNIFICANT FIGURES AND STANDARD DEVIATION

LECTURE 4

13 JAN 2011

MISS NOORULNAJWA DIYANA YAACOB

Significant FiguresSignificant figures – all known digits, plus the first uncertain

digit.In significant figure convention:

We first determine the number of significant figures in our data (measurements).

We use that knowledge to report an appropriate number of digits in our answer.

Significant figure convention is not a scientific law!Significant figure convention is a set of guidelines to ensure

that we don’t over- or underreport the precision of results – at least not too badly…

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Rules for Counting Significant Figures - Overview

1. Nonzero integers

2. Zeros

leading zeros

captive zeros

trailing zeros

3. Exact numbers

Rules for Counting Significant Figures - Details

Nonzero integers always count as significant figures.

3456 has

4 sig figs.

Rules for Counting Significant Figures - Details

Zeros Leading zeros do not count as

significant figures.

0.0486 has

3 sig figs.

Rules for Counting Significant Figures - Details

Zeros Captive zeros always count as

significant figures.

16.07 has

4 sig figs.

Rules for Counting Significant Figures - Details

Zeros Trailing zeros are significant only

if the number contains a decimal point.

9.300 has

4 sig figs.

Rules for Counting Significant Figures - Details

Exact numbers have an infinite number of significant figures.

Independent of measuring device:1 apple, 10 students, 5 cars….

2πr The 2 is exact and 4/3 π r2 the 4 and 3 are exact

From Definition: 1 inch = 2.54 cm exactlyThe 1 and 2.54 do not limit the significant figures

100. has 3 sig. fig. = 1.00 x 102

100 has 1 sig. fig. = 1 x 102

Rules For Rounding

1. In a series of calculations, carry the extra digits through to the final result, then round.

2. If the digit to be removed:A. Is less than 5, then no change e.g. 1.33 rounded to 2

sig. fig = 1.3

B. Is equal or greater than 5, the preceding digit increase by 1 e.g. 1.36 rounded to 2 sig. fig = 1.4

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3. If the last digit is 5 and the second last digit is an even number, thus the second last digit does not change.

Example, 73.285 73.284. If the last digit is 5 and the second last digit is an

odd number, thus add one to the last digit. Example, 63.275 63.28

Rules for Significant Figures in Mathematical Operations

Multiplication and Division: # sig figs in the result equals the number in the least precise measurement used in the calculation.

6.38 2.0 =

12.76 13 (2 sig figs)

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Example : Give the correct answer for the following operation to the maximum number of significant figures.

1.0923 x 2.07

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Solution:

1.0923 x 2.07 = 2.261061 2.26

The correct answer is therefore 2.26 based on the key number (2.07).

Rules for Significant Figures in Mathematical Operations

Addition and Subtraction: # decimal places in the result equals the number of decimal places in the least precise measurement.

6.8 + 11.934 =

18.734 18.7 (3 sig figs)

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Example : Give the answer for the following operation to the maximum number of significant figures: 43.7+ 4.941 + 13.13

43.7

4.941

+ 13.13

61.771 61.8

answer is therefore 61.8 based on the key number (43.7).

Rules Exponential

The exponential can be written as follows. Example, 0.000250 2.50 x 10-4

Rules for logarithms and antilogarithms

Log (3.1201)

mantissa

characteristics

The number of significant figures on the right of the decimal point of the log result is the sum of the significant figures in mantissa and characteristic

Rules for Counting Significant Figures.

Example 1

List the proper number of significant figures in the following numbers and indicate which zeros are significant

0.216 ; 90.7 ; 800.0; 0.0670

Solution:

0.216 3 sig fig

90.7 3 sig fig; zero is significant

800.0 4 sig fig; all zeroes are significant

0.0670 3 sig fig; 0nly the last zero is significant

Standard Deviation

The standard deviation is calculated to indicate the level of precision within a set of data. Abbreviations include sdev, stdev, s and s.

s is called the population standard deviation – used for “large” data sets.

s is the sample standard deviation – used for “small” data sets.

STANDARD DEVIATION

The most important statictics.

Recall back: Sample standard deviation.

For N (number of measurement) < 30

For N > 30,

The Mean Value

The “average” ( )

Generally the most appropriate value to report for replicate measurements when the errors are random and small.

n

xxxx n

...21

25

x

The standard deviation of the mean:

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The standard deviation of the mean is sometimes referred to as the standard error

The standard deviation is sometimes expressed as the relative standard deviation (rsd) which is just the standard deviation expressed as a fraction of the mean; usually it is given as the percentage of the mean (% rsd), which is often called the coefficient of variation

Relative Standard Deviation (rsd)

Dimensionless, but expressed in the same units as the value

Coefficient of variation (or variance), CV, is the percent rsd:

x

srsd

x

xrsd

%100x

sCV

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or

Example 1

Calculate the mean and the standard deviation of the following set of the analytical results: 15.67g, 15.69g, and 16.03g

Answer: 0.20g

Example 2

The following replicate weighing were obtained: 29.8, 30.2, 28.6, and 29.7mg. Calculate the standard deviation of the individual values and the standard deviation of the mean. Express these as absolute (units of the measurement) and relative (% of the measurement) values.

Median and RangeMedian is the middle value of a

data set

If there is an even number of data, then it is the average of the two central values

Useful if there is a large scatter in the data set – reduces the effect of outliers

Use if one or more points differ greatly from the central value

Range is the difference between the highest and lowest point in the data set.

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Mean and Median

Median

Mean

Range

Range

Median and Range

For example:

6.021, 5.969, 6.062, 6.034, 6.028, 5.992

Rearrange: 5.969, 5.992, 6.021, 6.028, 6.034, 6.062

Median = (6.021+6.028)/2 = 6.0245 = 6.024

Range = 6.062-5.969 = 0.093

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