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# Statistis presentatio

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plus one statistics presentation teachers and students can use this for a quick revision

plus one statistics presentation teachers and students can use this for a quick revision

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• 1. PRESENTATION OF DATA
TEXTUAL
TABULAR
GRAPHIC
• 2. FUNCTIONAL PARTS OF TABLE
• SIGNIFICANCE OF GRAPHS
ATTRACTIVE PRESENTATION
SIMPLIFY COMPLEXITY
FACILITATE COMPARISON
SAVE TIME
HAVE GREAT MEMORISING EFFECT
CAN LOCATE MEDIAN MODE Etc.
• 10. LIMITATIONS
ONLY APPROXIMATE PICTURE OF DATA
ONLY FOR COMPARATIVE STUDIES
CAPABLE OF BEING MISUSED EASILY
LIMITED AMOUNT OF INFORMATION
MEAN ONLY FOR LAYMAN
• 11. SIMPLE BAR DIAGRAM
• 12. SUB DIVIDED BAR DIAGRAM
• 13. MULTIPLE BAR DIAGRAM
• 14. PERCENTAGE BAR DIAGRAM
• 15. PIE DIAGRAM
• 16. PIE CHART
• 17. PICTOGRAMS
PICTOGRAMS ARE PICTORIAL REPRESENTATION OF STATISTICAL DATA
ATTRACTS LAYMAN
DIFFICULT TO CONSTRUCT
NOT GIVE MINUTE DETAILS
• 18. CARTOGRAMS
CARTOGRAMS ARE STATISTICAL MAP PRESENTATION WHICH ARE USED TO GIVE DATA OVER A GEOGRAPHICAL AREA.
RAIN FALL IN INDIA
DENSITY OF POPULATION
• 19. HISTOGRAM
• 20. FREQUENCY POLYGON
• 21. FREQUENCY CURVES
FREQUENCY CURVES ARE SMOOTH CURVED LINES OVER FREQUENCY POLYGON
AREA UNDER POLYGON AND
CURVE ARE SAME
• 22. OGIVES
LESS THAN OGIVES
MORE THAN OGIVES
• 23.
• 24. OGIVE BY LESS THAN METHOD
• 25. OGIVE BY MORE THAN
• 26. TIME SERIES GRAPH
• 27. INDEX NUMBERS
INDEX NUMBER MEASURE CHANGES IN A VARIABLE WITH RESPECT TO TIME
• 28. SIMPLE INDEX NUMBERS
P01= INDEX NUMBER OF CURRENT YEAR
∑P1 = TOTAL OF CURRENT YEAR PRICES
∑P0 = TOTAL OF BASE YEAR PRICES
• 29. Construct index number for2000 on the base of 1991
• 30. price in 2000 were 27.96% higher than 1999 price
• 31. Construct index number for1980 on the base of 1979
• 32. Price increased 20% in the year 1990 than 1989
• 33. Weighted index number(Laspeyers method)
Here base year quantities(q0) are taken as weights
• 34. Construct weighted index number for1999 on the base of 1998
• 35. solution
• 36.
• 37. Construct weighted index number
• 38. Measures of central tendencies
Average
AN AVERAGE VALUE IS A SINGLE VALUE THAT IS USED TO REPRESENT ALL THE VALUES IN THE SERIES
TYPES OF AVERAGES
ARITHMETIC MEAN
MEDIAN
MODE
• 39. ARITHMETIC MEAN
MEAN IS OBTAINED BY DEVIDING THE SUM OF GIVEN OBSERVATION BY THEIR NUMBER
• 40. INDIVIDUAL SERIES
FIND MEAN
Arithmetic mean =
= 17
• 41. Discrete series
• 42. CONTINUOUS FREQUENCY DISTRIBUTION
• 43. MEDIAN
MEDIAN IS THE MIDDLE MOST OBSERVATION,AFTER THE OBSERVATION ARRANGED IN ASCENDING OR DECENDING ORDER OF THE MAGNITUDE
• 44. N=11 (n is odd)
MEDIAN =
MEDIAN-INDIVIDUAL SERIES
• 45. IF n IS EVEN median =
• 46. Median – discrete series
20th ITEM
20th item lies in 23 cf the size of item is 10 or median is 10
• 47. CONTINUOUS SERIES - MEDIAN
L= lower limit of median class
Cf = cumulative frequency of
class preceding median class.
F = frequency of median class
C = class interval of median class
• 48. Median class80/2=4040 lies in 140-160 class
=140+6.67=146.67
• 49. MODE
MODE IS THE MOST FREQUENT OBSERVATION
INDIVIDUAL SERIES-BY INSPECTION U CAN FIND
11,12,11,13,10 MODE=11
DISCRETE SERIES– ITEM WITH HIGH FREQUENCY
VALUE 12 HAS HIGH FREQENCY THEREFORE
MODE = 12
• 50. MODE- CONTINUOUS SERIES
L1 = Lower limit of modal class
F1,f2 = frequof classes just preceding and
Succeeding modal class
C = class interval of modal class
• 51. Compute mode
Highest frequency is 30
Modal class-20-25
20+2.4 =22.4
• 52. LOCATING MODE GRAPHICALLY
• 53. DISPERSION
DISPERSION MEASURES THE EXTEND TO WHICH THE ITEM VARY FROM SOME CENTRAL VALUE
THEY ARE AVERAGES OF DEVIATION TAKEN FROM AN AVERAGE
• 54. RANGE
SIMPLEST MEASURE OF DISPERSION
RANGE = L-S
L = LARGEST ITEM
S = SMALLEST ITEM
COEFFICIENT OF RANGE=
• 55. COMPUTE RANGE AND COEFFICIENT OF RANGE
RANGE =L-S
L=230
S = 30
230-30=200
COEFFICIENT OF RANGE=
• 56. CORRELATION
CORRELATION IS A NUMERICAL MEASURE OF ASSOCIATION BETWEEN TWO VARIABLES
TYPES
POSITIVE OR NEGATIVE CORRELATION
LENEAR AND NON LENEAR CORRELATION
LINEAR THE RATIO=1:7
• 57. THANK YOU
GOD BLESS YOU