Title: Stochastic Modelling and Geostatistics
1Lecture (3)
Description of Central Tendency
2Hydrological Records
3Population vs. Sample Notation
Population Vs Sample
World People Arabs
Infinite Record (i.e. very long) selected year
4Different Types of Means or Averages
Arithmetic Geometric Harmonic Quadratic Conside
r a sample of n observations, X1, X2, , Xi, ,
Xn which can be grouped into k classes with
class marks x1,x2,, xi,, xk with corresponding
absolute frequencies, f1,f2,,fi,,fk.
Â
5Arithmetic Mean
X
X1
Xn
Xi
X2
t
Â
6The Short Cut Method
Assume the mean is ltxgtxj Calculate the deviation
from the assumed mean, (xi-xj)
Â
7Geometric Mean
8Geometric Mean (cont.)
9Harmonic Mean
10Quadratic Mean (Mean Square Value)
X
X1
Xn
Xi
X2
t
11General Formula
12Applications and Limitations
13Applications and Limitations (Cont.)
14Applications and Limitations (Cont.)
Flow parallel to the layers
Flow perpendicular to the layers
15Applications and Limitations (Cont.)
Quadratic mean describes dispersion, spread or
scatter around the mean, and is known as the
standard deviation from the mean.
16Median
- Any value M for which at least 50 of all
observations are at or above M and at least 50
are at or below M.
17Median Estimation
- Order all observations from smallest to largest.
- If the number of observations is odd, it is the
middle object, namely the (n1)/2th
observation. - For n 61, it is the 31st
- If the number of observations is even then, to
get a unique value, take the average of the
(n/2)th and the (n/2 1)th observation. - For 60, it is the average of the 30th and the
31st observation.
18The median has nice properties
- Easy to understand
- (½ data above, ½ data below)
- Resistant measure of central tendency (location)
not affected by extreme (unusual) observations.
19Percentiles and Quartiles
In the cumulative distribution diagram, the range
is from 0 to 100. If this range is divided into
a hundred equal parts. The projection of these
parts on the x-axis are percentiles and denoted
by, X_0.01, X_0.02,, X_0.99.
20Percentiles, Quartiles and Median (Cont.)
The 25th and 75th percentiles correspond to the
first and third quartiles. Median (Xm) it is
the second quartile, X_0.50, divides the set of
observations into two numerically equal
groups. Median geometrically is the value that
divides the frequency histogram into two parts
having equal areas.
21Graphical Representation
X_0.50
X_0.75
X_0.25
22Mode
The mode is the variate that corresponds to the
largest ordinate of a frequency curve.
Frequency distributions can be described
as Uni-modal, bi-model, multi-model if it has
one, two or more modes.
23Mode in a Histogram
- Mode(s)
- Median
- Mean
24Four Rules of Summation
n
25Four Rules of Summation
26Four Rules of Summation
27Four Rules of Summation
28Excel Application
29Mean, Median, Mode
- Use AVERAGE or AVERAGEA to calculate the
arithmetic mean - Cell AVERAGE(number1, number2, etc.)
- Use MEDIAN to return the middle number
- Cell MEDIAN(number1, number2, etc)
- Use MODE to return the most common value
- Cell MODE(number1, number2, etc)
30Geometric Mean
- Use GEOMEAN to calculate the geometric mean
- Cell GEOMEAN (number1, number2, etc.)
31Percentiles and Quartiles
- Use PERCENTILE to return the kth percentile of a
data set - Cell PERCENTILE(array, percentile)
- Percentile argument is a value between 0 and 1
- Use QUARTILE to return the given quartile of a
data set - Cell QUARTILE(array, quart)
- Quart is 1, 2, 3 or 4
- IQR Q3-Q1
- May return different values to statistical package