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BUSINESS STATISTICS
PRESENTED BY :-
ABHISHEK SHARMA
MBA 1ST
17PBA003
CENTRAL TENDANCY
MEAN MEDIAN
( M )
MODE
( Z)
AIRTHMATIC MEAN
Formula Individual Discrete Continuous
DIRECT 𝜮𝑿
𝑵
𝜮𝒇𝑿
𝑵
𝜮𝒇𝒎
𝑵
SHORT CUT
A+
𝜮𝒅
𝑵
A+
𝜮𝒇𝒅
𝑵
A+
𝜮𝒇𝒅
𝑵
STEP
DEVIATION
A+
𝚺𝐟𝐝′
𝑵
∗ 𝐢 A+
𝜮𝒇𝒅
𝑵
∗ 𝐢
(d=X-X͞ )
WEIGHTED MEAN
• * WEIGHTED MEAN -
∑𝑾𝑿
∑𝑾
• HERE, ∑𝑾 IS SUM OF WEIGHT
• ∑𝑾𝑿 IS SUM OF WX = W *X
COMBINED MEAN
• X123 =
HERE, N1 IS NO. OF VALUE of 1ST SERIES , N2 IS NO. OF VALUE OF 2ND SERIES
MEDIAN ( M )
Individual & Discrete
M= Size of N+1 th item
2
(when in points add = L+U
2
N = NO. OF SERIES OR SUM OR
FREFUANCY
Continuous
M = Size of N th item
2
N/2 lies in particular C.I.
M= l1
𝑁
2
−𝑐𝑓
𝑓
∗ 𝑖
MODE ( Z )
• (1. INDIVIDUAL SERIES = MOST RECCURING NO.
• (2. DISCRETE SERIES = BIGGEST NO. IN F , IT STRAIGHT
VALUE IN ‘X’
(3. CONTINUE SERIES = f1 =biggest no. in ‘F’ , f0 = previous no. from
f1 and f2 = next no. from f1.
Z=𝐿1 +
𝑓1−𝑓0
2𝑓1−𝑓0−𝑓2
*I OR Z=3M-2X͞ ( AIRHTMATIC MEAN
)
DISPERSION
 RANGE
QUARTILE DEVIATION
 MEAN DEVIATION
 STANDERED DEVIATION
RANGE
(R) =Largest value-Smallest value (L-S),
Coefficient CR=
𝐿−𝑆
𝐿+𝑆
QUARTILE DEVIATION
•
Individual & Discrete Continuous
Q1= Size of
𝑵+𝟏
𝟒
th item
Q3= Size of
𝟑 𝑵+𝟏
𝟒
th item
QD=
𝑸𝟑−𝑸𝟏
𝟐
,
Q1= Size of
𝑵
𝟒
th item
Q3= Size of 3
𝑵
𝟒
th item
QD=𝑳 +
𝑵
𝟒
−𝒄𝒇
𝒇
∗ 𝒊
Coefficient of Q.D. =
𝑸𝟑−𝑸𝟏
𝑸𝟑+𝑸𝟏
MEAN DEVIATION
•
Individual Discrete &
CONTINOUS
COFFICENT
MD=
𝜮│𝒅/
𝑵
MD=
𝜮𝒇│𝒅│
𝑵
𝑴𝑫
𝑴𝑬𝑫𝑰𝑨𝐍 𝑶𝑹 𝑴𝑬𝑨𝑵
Coefficient of SD =
ϭ
𝑋
And Coefficient of variation =
ϭ
𝑋
∗ 100
Combined SD =
𝑵 𝟏ϭ 𝟏+𝑵 𝟐ϭ 𝟐+𝑵 𝟏 𝒅 𝟏+𝑵₂𝒅₂
𝑵 𝟏+𝑵₂
STANDERED DEVIATION ( )
DIRECT SHORT CUT STEP DEVIATION
Individual =SD=
𝜮𝐱 𝟐
𝑵
OR
𝜮(𝑿−𝑿
𝑵
𝜮𝒅𝒙 𝟐
𝑵
− (
𝜮𝒅𝒙
𝑵
)²
=
𝜮𝒅𝒙 𝟐
𝑵
− (
𝜮𝒅𝒙
𝑵
)² ∗ 𝑪
Discrete &
continuous S.D. =
𝜮𝒇𝐱 𝟐
𝑵
𝜮𝒇𝒅𝒙²
𝑵
− (
𝜮𝒇𝒅𝒙
𝑵
)²
𝜮𝒅𝒙′ 𝟐
𝑵
− (
𝜮𝒅𝒙′
𝑵
)² ∗ 𝑪
dx’=
𝒅𝒙
𝑪
SKEWNESS
Karl pearson Bowley Kelly
SKP =
𝐌𝐞𝐚𝐧−𝐌𝐨𝐝𝐞
𝑺𝑫
SKB =
𝐐𝟑+𝐐𝟏−𝟐 𝑴𝑬𝑫𝑰𝑨𝑵
𝐐𝟑−𝐐𝟏
SKk =
𝐝𝟗+𝐝𝟏−𝟐𝐌𝐞𝐝𝐢𝐚𝐧
𝐝𝟗−𝐝𝟏
INDEX NUMBER
• Simple Methods
Formula Price Quantity
Simple aggregative 𝜮𝒑𝟏
𝜮𝒑𝟎
∗ 𝟏𝟎𝟎
𝜮𝒒𝟏
𝜮𝒒𝟎
∗ 𝟏𝟎𝟎
SimpleAverage
Price Relative
𝚺
𝒑𝟏
𝒑𝟎
∗ 𝟏𝟎𝟎
𝑵
𝚺
𝒒𝟏
𝒒𝟎
∗ 𝟏𝟎𝟎
𝑵
INDEX NUMBER
• Weighted aggregative Methods
• Time Reversal Test : Po1 X P1 = 1
• Factor Reversal Test P01 X Q01 = ΣP1q1/ΣP0q0
Formula Price Quantity
Laspeyre’s 𝚺𝐩𝟏𝐪𝟎
𝚺𝐩𝟎𝐪𝟎
∗ 𝟏𝟎𝟎
𝚺𝐪𝟏𝐩𝟎
𝚺𝐪𝟎𝐩𝟎
∗ 𝟏𝟎𝟎
Paaschee’s 𝚺𝐩𝟏𝐪𝟏
𝚺𝐩𝟎𝐪𝟏
∗ 𝟏𝟎𝟎
𝚺𝐪𝟏𝐩𝟏
𝚺𝐪𝟎𝐩𝟏
∗ 𝟏𝟎𝟎
Fisher’s
𝚺𝐩𝟏𝐪𝟎
𝚺𝐩𝟎𝐪𝟎
∗
𝚺𝐩𝟏𝐪𝟏
𝚺𝐩𝟎𝐪𝟏
∗ 𝟏𝟎𝟎
𝚺𝐪𝟏𝐩𝟎
𝚺𝐪𝟎𝐩𝟎
∗
𝚺𝐪𝟏𝐩𝟏
𝚺𝐪𝟎𝐩𝟏
∗ 𝟏𝟎𝟎
Dorbish & Bowley’s 𝚺𝐩𝟏𝐪𝟎
𝚺𝐩𝟎𝐪𝟎
+
𝚺𝐩𝟏𝐪𝟏
𝚺𝐩𝟎𝐪𝟏
∗ 𝟏𝟎𝟎
𝟐
𝚺𝐪𝟏𝐩𝟎
𝚺𝐪𝟎𝐩𝟎
+
𝚺𝐪𝟏𝐩𝟏
𝚺𝐪𝟎𝐩𝟏
∗ 𝟏𝟎𝟎
𝟐
Marshall edgeworth’s 𝚺𝐩𝟏𝐪𝟎 + 𝚺𝐩𝟏𝐪𝟏
𝐩𝟎𝐪𝟎 + 𝐩𝟎𝐪𝟏
∗ 𝟏𝟎𝟎
𝚺𝐪𝟏𝐪𝟎 + 𝚺𝐪𝟏𝐩𝟏
𝚺𝐪𝟎𝐩𝟎 + 𝚺𝐪𝟎𝐩𝟏
∗ 𝟏𝟎𝟎
CO-RELATION
• KARL PEARSON METHODS :-
2. SPEARMEN METHODS :-
(3. CON CURRENT DEVIATION :-
rc = + +
𝟐𝒄 −𝒏
𝒏
(Actual mean) Assumed mean) Actual data
r=
𝚺𝐱𝐲
𝚺𝐱 𝟐.𝚺𝐲 𝟐
r=
𝐍.𝚺𝐝𝐱𝐝𝐲−𝚺𝐝𝐱.𝚺𝐝𝐲
𝐍𝚺𝐝𝐱²− 𝚺𝐝𝐱 𝟐. 𝐍.𝚺𝐝𝐲²−(𝚺𝐝𝐲)²
r=
𝐍.𝚺𝐗𝐘−𝚺𝐗.𝚺𝐘
𝐍.𝚺𝐗²− 𝚺𝐗 𝟐. 𝚺𝐘²−(𝚺𝐘)²
WHEN RANK ARE GIEVAN WHEN RANK ARE NOT
GIVEN
WHENRANK ARE EQUAL
R= 1 -
𝟔𝜮𝐃𝟐
𝐍𝟑 −𝐍
R= 1 -
𝟔𝜮𝐃𝟐
𝐍𝟑 −𝐍 R= 1 -
𝟔(𝜮𝐃𝟐+
𝟏
𝟏𝟐
𝒎𝟑−𝒎+
𝟏
𝟏𝟐
𝒎𝟑−𝒎+
𝟏
𝟏𝟐
𝒎𝟑−𝟑)
𝐍𝟑 −𝐍
REGRESSION
• (1. ALGEBRIC METHOD :-
( 2. NON – ALGEBRIC METHOD –
( I. ACTUAL METHOD :- co- efficient = bxy x byx
(3. ASSUMED METHOD :- co- efficient = bxy x byx
1.Y on X
Y=a+ bX
ΣY=Na+bΣx
ΣXY=aΣX+bΣX²
2.X on Y
X=a+ bY
ΣX=Na+bΣY
ΣXY=aΣY+bΣY²
1.Y on X
Y-Y̅=byx(X-X̅) byx=
𝚺𝐱𝐲
𝚺𝐱²
2.X on Y
X-X̅=bxy(Y-Y̅ ) bxy=
𝚺𝐱𝐲
𝚺𝐲²
1.Y on X
Y-Y̅=byx(X-X̅) , byx=
𝐍.𝚺𝐝𝐱𝐝𝐲−𝚺𝐝𝐱.𝚺𝐝𝐲
𝐍.𝚺𝐝𝐱²−(𝚺𝐝𝐱)²
2. X on Y
X-X̅=bxy(Y-Y̅) , bxy=
𝐍.𝚺𝐝𝐱𝐝𝐲−𝚺𝐝𝐲.𝚺𝐝𝐱
𝐍.𝚺𝐝𝐲²−(𝚺𝐝𝐲)²
TIME SERIES
• Least square method - Yс = a +bX
• if x =0 then
a =
∑𝒚
𝑵
b =
∑𝒙𝒚
∑𝐱²
THANK YOU

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Business statestics formullas

  • 1. BUSINESS STATISTICS PRESENTED BY :- ABHISHEK SHARMA MBA 1ST 17PBA003
  • 3. AIRTHMATIC MEAN Formula Individual Discrete Continuous DIRECT 𝜮𝑿 𝑵 𝜮𝒇𝑿 𝑵 𝜮𝒇𝒎 𝑵 SHORT CUT A+ 𝜮𝒅 𝑵 A+ 𝜮𝒇𝒅 𝑵 A+ 𝜮𝒇𝒅 𝑵 STEP DEVIATION A+ 𝚺𝐟𝐝′ 𝑵 ∗ 𝐢 A+ 𝜮𝒇𝒅 𝑵 ∗ 𝐢 (d=X-X͞ )
  • 4. WEIGHTED MEAN • * WEIGHTED MEAN - ∑𝑾𝑿 ∑𝑾 • HERE, ∑𝑾 IS SUM OF WEIGHT • ∑𝑾𝑿 IS SUM OF WX = W *X
  • 5. COMBINED MEAN • X123 = HERE, N1 IS NO. OF VALUE of 1ST SERIES , N2 IS NO. OF VALUE OF 2ND SERIES
  • 6. MEDIAN ( M ) Individual & Discrete M= Size of N+1 th item 2 (when in points add = L+U 2 N = NO. OF SERIES OR SUM OR FREFUANCY Continuous M = Size of N th item 2 N/2 lies in particular C.I. M= l1 𝑁 2 −𝑐𝑓 𝑓 ∗ 𝑖
  • 7. MODE ( Z ) • (1. INDIVIDUAL SERIES = MOST RECCURING NO. • (2. DISCRETE SERIES = BIGGEST NO. IN F , IT STRAIGHT VALUE IN ‘X’ (3. CONTINUE SERIES = f1 =biggest no. in ‘F’ , f0 = previous no. from f1 and f2 = next no. from f1. Z=𝐿1 + 𝑓1−𝑓0 2𝑓1−𝑓0−𝑓2 *I OR Z=3M-2X͞ ( AIRHTMATIC MEAN )
  • 8. DISPERSION  RANGE QUARTILE DEVIATION  MEAN DEVIATION  STANDERED DEVIATION
  • 9. RANGE (R) =Largest value-Smallest value (L-S), Coefficient CR= 𝐿−𝑆 𝐿+𝑆
  • 10. QUARTILE DEVIATION • Individual & Discrete Continuous Q1= Size of 𝑵+𝟏 𝟒 th item Q3= Size of 𝟑 𝑵+𝟏 𝟒 th item QD= 𝑸𝟑−𝑸𝟏 𝟐 , Q1= Size of 𝑵 𝟒 th item Q3= Size of 3 𝑵 𝟒 th item QD=𝑳 + 𝑵 𝟒 −𝒄𝒇 𝒇 ∗ 𝒊 Coefficient of Q.D. = 𝑸𝟑−𝑸𝟏 𝑸𝟑+𝑸𝟏
  • 11. MEAN DEVIATION • Individual Discrete & CONTINOUS COFFICENT MD= 𝜮│𝒅/ 𝑵 MD= 𝜮𝒇│𝒅│ 𝑵 𝑴𝑫 𝑴𝑬𝑫𝑰𝑨𝐍 𝑶𝑹 𝑴𝑬𝑨𝑵
  • 12. Coefficient of SD = ϭ 𝑋 And Coefficient of variation = ϭ 𝑋 ∗ 100 Combined SD = 𝑵 𝟏ϭ 𝟏+𝑵 𝟐ϭ 𝟐+𝑵 𝟏 𝒅 𝟏+𝑵₂𝒅₂ 𝑵 𝟏+𝑵₂ STANDERED DEVIATION ( ) DIRECT SHORT CUT STEP DEVIATION Individual =SD= 𝜮𝐱 𝟐 𝑵 OR 𝜮(𝑿−𝑿 𝑵 𝜮𝒅𝒙 𝟐 𝑵 − ( 𝜮𝒅𝒙 𝑵 )² = 𝜮𝒅𝒙 𝟐 𝑵 − ( 𝜮𝒅𝒙 𝑵 )² ∗ 𝑪 Discrete & continuous S.D. = 𝜮𝒇𝐱 𝟐 𝑵 𝜮𝒇𝒅𝒙² 𝑵 − ( 𝜮𝒇𝒅𝒙 𝑵 )² 𝜮𝒅𝒙′ 𝟐 𝑵 − ( 𝜮𝒅𝒙′ 𝑵 )² ∗ 𝑪 dx’= 𝒅𝒙 𝑪
  • 13. SKEWNESS Karl pearson Bowley Kelly SKP = 𝐌𝐞𝐚𝐧−𝐌𝐨𝐝𝐞 𝑺𝑫 SKB = 𝐐𝟑+𝐐𝟏−𝟐 𝑴𝑬𝑫𝑰𝑨𝑵 𝐐𝟑−𝐐𝟏 SKk = 𝐝𝟗+𝐝𝟏−𝟐𝐌𝐞𝐝𝐢𝐚𝐧 𝐝𝟗−𝐝𝟏
  • 14. INDEX NUMBER • Simple Methods Formula Price Quantity Simple aggregative 𝜮𝒑𝟏 𝜮𝒑𝟎 ∗ 𝟏𝟎𝟎 𝜮𝒒𝟏 𝜮𝒒𝟎 ∗ 𝟏𝟎𝟎 SimpleAverage Price Relative 𝚺 𝒑𝟏 𝒑𝟎 ∗ 𝟏𝟎𝟎 𝑵 𝚺 𝒒𝟏 𝒒𝟎 ∗ 𝟏𝟎𝟎 𝑵
  • 15. INDEX NUMBER • Weighted aggregative Methods • Time Reversal Test : Po1 X P1 = 1 • Factor Reversal Test P01 X Q01 = ΣP1q1/ΣP0q0 Formula Price Quantity Laspeyre’s 𝚺𝐩𝟏𝐪𝟎 𝚺𝐩𝟎𝐪𝟎 ∗ 𝟏𝟎𝟎 𝚺𝐪𝟏𝐩𝟎 𝚺𝐪𝟎𝐩𝟎 ∗ 𝟏𝟎𝟎 Paaschee’s 𝚺𝐩𝟏𝐪𝟏 𝚺𝐩𝟎𝐪𝟏 ∗ 𝟏𝟎𝟎 𝚺𝐪𝟏𝐩𝟏 𝚺𝐪𝟎𝐩𝟏 ∗ 𝟏𝟎𝟎 Fisher’s 𝚺𝐩𝟏𝐪𝟎 𝚺𝐩𝟎𝐪𝟎 ∗ 𝚺𝐩𝟏𝐪𝟏 𝚺𝐩𝟎𝐪𝟏 ∗ 𝟏𝟎𝟎 𝚺𝐪𝟏𝐩𝟎 𝚺𝐪𝟎𝐩𝟎 ∗ 𝚺𝐪𝟏𝐩𝟏 𝚺𝐪𝟎𝐩𝟏 ∗ 𝟏𝟎𝟎 Dorbish & Bowley’s 𝚺𝐩𝟏𝐪𝟎 𝚺𝐩𝟎𝐪𝟎 + 𝚺𝐩𝟏𝐪𝟏 𝚺𝐩𝟎𝐪𝟏 ∗ 𝟏𝟎𝟎 𝟐 𝚺𝐪𝟏𝐩𝟎 𝚺𝐪𝟎𝐩𝟎 + 𝚺𝐪𝟏𝐩𝟏 𝚺𝐪𝟎𝐩𝟏 ∗ 𝟏𝟎𝟎 𝟐 Marshall edgeworth’s 𝚺𝐩𝟏𝐪𝟎 + 𝚺𝐩𝟏𝐪𝟏 𝐩𝟎𝐪𝟎 + 𝐩𝟎𝐪𝟏 ∗ 𝟏𝟎𝟎 𝚺𝐪𝟏𝐪𝟎 + 𝚺𝐪𝟏𝐩𝟏 𝚺𝐪𝟎𝐩𝟎 + 𝚺𝐪𝟎𝐩𝟏 ∗ 𝟏𝟎𝟎
  • 16. CO-RELATION • KARL PEARSON METHODS :- 2. SPEARMEN METHODS :- (3. CON CURRENT DEVIATION :- rc = + + 𝟐𝒄 −𝒏 𝒏 (Actual mean) Assumed mean) Actual data r= 𝚺𝐱𝐲 𝚺𝐱 𝟐.𝚺𝐲 𝟐 r= 𝐍.𝚺𝐝𝐱𝐝𝐲−𝚺𝐝𝐱.𝚺𝐝𝐲 𝐍𝚺𝐝𝐱²− 𝚺𝐝𝐱 𝟐. 𝐍.𝚺𝐝𝐲²−(𝚺𝐝𝐲)² r= 𝐍.𝚺𝐗𝐘−𝚺𝐗.𝚺𝐘 𝐍.𝚺𝐗²− 𝚺𝐗 𝟐. 𝚺𝐘²−(𝚺𝐘)² WHEN RANK ARE GIEVAN WHEN RANK ARE NOT GIVEN WHENRANK ARE EQUAL R= 1 - 𝟔𝜮𝐃𝟐 𝐍𝟑 −𝐍 R= 1 - 𝟔𝜮𝐃𝟐 𝐍𝟑 −𝐍 R= 1 - 𝟔(𝜮𝐃𝟐+ 𝟏 𝟏𝟐 𝒎𝟑−𝒎+ 𝟏 𝟏𝟐 𝒎𝟑−𝒎+ 𝟏 𝟏𝟐 𝒎𝟑−𝟑) 𝐍𝟑 −𝐍
  • 17. REGRESSION • (1. ALGEBRIC METHOD :- ( 2. NON – ALGEBRIC METHOD – ( I. ACTUAL METHOD :- co- efficient = bxy x byx (3. ASSUMED METHOD :- co- efficient = bxy x byx 1.Y on X Y=a+ bX ΣY=Na+bΣx ΣXY=aΣX+bΣX² 2.X on Y X=a+ bY ΣX=Na+bΣY ΣXY=aΣY+bΣY² 1.Y on X Y-Y̅=byx(X-X̅) byx= 𝚺𝐱𝐲 𝚺𝐱² 2.X on Y X-X̅=bxy(Y-Y̅ ) bxy= 𝚺𝐱𝐲 𝚺𝐲² 1.Y on X Y-Y̅=byx(X-X̅) , byx= 𝐍.𝚺𝐝𝐱𝐝𝐲−𝚺𝐝𝐱.𝚺𝐝𝐲 𝐍.𝚺𝐝𝐱²−(𝚺𝐝𝐱)² 2. X on Y X-X̅=bxy(Y-Y̅) , bxy= 𝐍.𝚺𝐝𝐱𝐝𝐲−𝚺𝐝𝐲.𝚺𝐝𝐱 𝐍.𝚺𝐝𝐲²−(𝚺𝐝𝐲)²
  • 18. TIME SERIES • Least square method - Yс = a +bX • if x =0 then a = ∑𝒚 𝑵 b = ∑𝒙𝒚 ∑𝐱²
  • 19.