This document discusses statistical analysis and presentation of data. It provides definitions of statistics as the study of collecting, analyzing, interpreting, and presenting quantitative and qualitative data. The purposes of statistics are to save time, save energy, and make data easy for anyone to read when it is neatly tabulated. The document then describes different methods for collecting, classifying, and presenting statistical data, including through tables, diagrams, charts, and graphs. These include pie charts, bar graphs, line graphs, scatter plots, histograms, and frequency polygons.

1. STATISTICAL DESCRIPTION OF
DATA

2. Q1. What are Statistics?
STATISTICS is the study of the collection, analysis,
interpretation, presentation, and organization of data.
Q2.Why do we Do Statistics?
•Saves time
•Saves Energy
•Easy to Read by anyone
•Neatly Tabulated Data

3. STATISTICS
COLLE
CTION
CLASS
IFICATI
ON OF
DATA
PRESEN
TATION
ANAL
YSIS
IN SINGULAR SENSE: Collection, Presentation, Analysis of
Data
IN PLURAL SENSE: Qualitative and Quantitative collection of
Data

4. 1.COLLECTIO
N
PRIMARY
SECONDAR
Y
PERSONAL
OBSERVATI
ON
QUESTIONA
IRRES
TELEPHONIC /
INDIRECT
NEWSPA
PERS
LOCAL
BODIES
PERIODICA
L
INTERNATIONAL
ORGANIZATIONS

5. 2.CLASSIFICATION
CHRONOL
OGICAL
GEOGRAPHI
CAL
QUANTIATIVE
QUALITAI
VE

6. 3. PRESENTATION
TEXTUAL
FORM TABULAR
FORM
DIAGRAM
S
LINE
DIAGRAMS
BAR
DIAGRAMS
SIMPLE LINE
MULTIPLE
AXES
LOG
CHART
MULTIPLE
HORIZONT
AL BAR
VERTICAL

7. VARIATE ATTRIBUTE
2-D BAR DIAGRAM / PIE
DIAGRAM
Angle= Value of component *360
Total Value
4.
CHARACTERIST
ICS
CONTINU
OUS
VARIATE
(all values
taken)
DISCRETE
VARIATE (all
values not
taken)

8. BAR DIAGRAMS
1-D 2-D
SIMPLE BAR
MULTIPLE
BAR
SUBDIVIDED
BAR
% BAR
PIE
DIAGRAM
RECTANGULAR $ CIRCULAR

9. GRAPHICAL
REPRESENTATION OF
FREQUENCY
DISTRIBUTION
CUMILATIV
E
FREQUEN
CY
DISTRIBUT
ION
HISTOGRA
M
FREQU
ENCY
POLYG
ON
B ELL-SHAPED
U-
SHAPE
D
J-
SHAPED
MIXED
CURVE

10. THANK YOU!<3