Descriptive statistics.ppt
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Descriptive statistics.ppt
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Descriptive Statististics
Zubair Latif
University of Veterinary and Animal Sciences
MEANINGS OF STATISTICS
Numerical Facts Systematically Arranged.
e.g. Statistics of prices, Statistics of road accidents, Statistics of crimes,
Statistics of birth, Statistics of deaths, Statistics of educational
institutions etc.
Subject.
Statistics is the mathmatical science of making decisions and drawing
conclusions from data in situations of uncertainty. It includes collection,
organization and analysis of numerical data.
Statistic.
A numerical quantity calculated from a sample.
Basic concepts
• Example:
It was observed that out of 500 rabbits caught, 300 were females. Is there evidence that more
rabbits in this country are females?
Descriptive Statistics
Presenting the numerical information in the form of number, graphs and tables.
Inferential Statistics
To estimate the population parameter on the basis of the sample statistic.
Population
The aggregate of units under discussion.
Sample
A subset / part of the population.
Observation
The numerically recording of information.
Data
Collection of related observations.
Variable
Characteristic that varies form individual to individual
a) Fixed variable b) Random variable
Types of Variable
Quantitative variable
Capable of assuming a numerical value
Continuous variable
Can take all possible values in an interval
Discrete/Discontinuous variable
Can take only specified values
Qualitative/Categorical variable
Not capable of taking numerical measurements
• Constant
Don’t vary from individual to individual
• Frequency
The number of values falling in a particular category
• Cumulative frequency
Sum of the observed frequency plus all above class frequencies
• Notations
X,Y,Z, n, N,∑ (Summation)
Tabular and graphical presentation
of data
Example
The final plant height (cm) of thirty plants of wheat is 91, 89, 88, 87, 89, 91,
87, 92, 90, 98, 95, 97, 96, 100, 101, 96, 98, 99, 98, 100, 102, 99, 101, 105,
103, 107, 105, 106, 107, 112.
• Steps to construct a frequency of distribution
table
i. Range = maximum value – manimum value
Range = 112-87=25
ii. Approximate No. of classes or class intervals No. of classes (C)
= 1+3.3 log (30)
= 1+3.3 (1.4771)
= 5.87443 = 6 (apporx)
iii. Width of the class (h) = range/number of classes
=25/6=4.167=5 (approx)
iv. Minimum value is 87, We start the first class as interval from 86 with width
of the class as 5, so our first class is 86-90 with mid point, average of lower
and upper class limit i.e. (86+90)/2=88. Similarly, other classes are 91-95,
96-100,… 111-115 with their mid points 93,98,…113 respectively. This is
clear that maximum value 112 is included in the last class.
v. Starting from first observation, all the 30 observations are assigned to the
classes they belong. The first observation 87 falls in the first class 86-90, a
tally mark is made in the tally column against this class. The second
observation 91 belongs to the second class 91-95, a tally mark is made in
tally column against this class. The third observation 89 belongs to the first
class 86-90, a tally mark is made in tally column against this class and so
on, the last observation 112 belongs to the last class 111-115. The number
of tally marks in the tally column against each class gives the frequency of
that class. The frequency distribution is given in table 1.
Class Class Mid- Entries Tally f c.f.
Limits Boundaries Points
86------90 85.5-----90.5 88 87,89,88,89,87,90 IIII I 6 6
91------95 90.5-----95.5 93 91,91,92,95 IIII 4 10
96----100 95.5----100.5 98 98,97,96,100,96,98,99,98, IIII IIII 10
100,99 20
101--105 100.5--105.5 103 101,102,101,105,103,105 IIII I 6
26
106--110 105.5--110.5 108 107,106,107 III 3
29
111--115 110.5--115.5 113 112 I 1
30
Total 30
Frequency distribution of the height of plants.