SlideShare a Scribd company logo
1 of 21
STATISTICS FORMULA
Ankit Chauhan
17PBA006
Baddi University of emerging
sciences and technology
Measure of central tedendancy
Median
Mean
Mode
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 )
Mean
 COMBINED MEAN
𝑵 𝟏X͞ 𝟏+𝑵 𝟐X͞ 𝟐
𝑵𝟏+𝑵𝟐
,
 WEIGHTED MEAN
∑𝑾𝑿
∑𝑾
Median
Individual
N+1/2 (when in
points add L+U/2)
Continuous
M= L+
𝑁
2
−𝑐𝑓
𝑓
∗ 𝑖
MODE
Z=𝐿1 +
𝑓1−𝑓0
2𝑓1−𝑓0−𝑓2
*I
 OR
Z=3M-2X͞
Measure of dispersion
Quartile
deviation
Mean deviation
Standard deviation
QUARTILE DEVIATION
Individual Continuous
Q1=
𝑁+1
4
Q3=
3 𝑁+1
4
QD=
𝑄3−𝑄1
2
,
QD=𝐿 +
𝑁
4
−𝑐𝑓
𝑓
∗ 𝑖
Coeff. =
𝑄3−𝑄1
𝑄3+𝑄1
STANDARD DEVIATION
DIRECT SHORT CUT STEP
DEVIATION
Individual
=SD=
𝚺𝐗 𝟐
𝐍
OR
𝚺(𝐗−𝐗͞
𝐍
𝚺𝐝𝐱 𝟐
𝐍
− (
𝚺𝐝𝐱
𝐍
)²
=
𝚺𝐝𝐱 𝟐
𝐍
− (
𝚺𝐝𝐱
𝐍
)² ∗
𝐂
Discrete &
continuous
𝚺𝐟𝐝𝐱²
𝐍
− (
𝚺𝐟𝐝𝐱
𝐍
)²
𝚺𝐝𝐱′ 𝟐
𝐍
− (
𝚺𝐝𝐱′
𝐍
)² ∗
𝐂
dx’=
𝐝𝐱
𝐂
STANDARD DEVIATION
 Coefficient of SD=
ϭ
𝑋
AND
 Coefficient of variation or C.V =
ϭ
𝑋
∗ 100
 Combined SD=
𝑵 𝟏ϭ 𝟏+𝑵 𝟐ϭ 𝟐+𝑵 𝟏 𝒅 𝟏+𝑵₂𝒅₂
𝑵 𝟏+𝑵₂
MEAN DEVIATION
Individual Discrete &
CONTINOUS
COFFICENT
MD=
𝛴│𝑑
𝑁
MD=
𝛴𝑓│𝑑│
𝑁
𝑀𝐷
𝑀𝐸𝐷𝐼𝐴N 𝑂𝑅 𝑀𝐸𝐴𝑁
SKEWNESS
Karl pearson Bowleey Kelly
𝐦𝐞𝐚𝐧 − 𝐦𝐨𝐝𝐞
𝑺𝑫
𝑸𝟑 + 𝑸𝟏 − 𝟐 𝑴𝑬𝑫𝑰𝑨𝑵
𝑸𝟑 − 𝑸𝟏
𝒅𝟗 + 𝒅𝟏 − 𝟐𝒎𝒆𝒅
𝒅𝟗 − 𝒅𝟏
Weighted aggregative Methods
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
INDEX NUMBERS
 Time Reversal Test : P01 X P10 = 1
 Factor Reversal Test P01 XQ01 = ΣP1q1/ΣP0q0
CORELATION
(Actual
mean)
Assumed mean) Actual data
r=
𝛴𝑥𝑦
𝛴𝑥2.𝛴𝑦2
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 ranks are not given
Rank are equal
R = 1 −
6[∑𝐷2+
1
12
(𝑚3−𝑚)+
1
12
(𝑚3−𝑚)
𝑛3−𝑛
REGRESSION
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
Equation using coefficient (Using Mean)
1.Y on X
Y-
X̅)
byx=
𝑁.𝛴𝑥𝑦−𝛴𝑥.𝛴𝑦
𝑁.𝛴𝑥²−(𝛴𝑥)²
2.X on Y
X-X̅=bxy(Y-
bxy=
𝑁.𝛴𝑥𝑦−𝛴𝑦.𝛴𝑥
𝑁.𝛴𝑦²−(𝛴𝑦)²
Assumed mean
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
 YC = a +bx
 if x =0 then
 a =
∑y
𝑁
 b =
∑xy
∑x²

More Related Content

What's hot

Measure of central tendency
Measure of central tendencyMeasure of central tendency
Measure of central tendencyWaqar Abbasi
 
An overview of statistics management with excel
An overview of statistics management with excelAn overview of statistics management with excel
An overview of statistics management with excelKRISHANACHOUDHARY1
 
STANDARD DEVIATION (2018) (STATISTICS)
STANDARD DEVIATION (2018) (STATISTICS)STANDARD DEVIATION (2018) (STATISTICS)
STANDARD DEVIATION (2018) (STATISTICS)sumanmathews
 
3.3 Measures of Variation
3.3 Measures of Variation3.3 Measures of Variation
3.3 Measures of Variationmlong24
 
Measures of variability
Measures of variabilityMeasures of variability
Measures of variabilityMark Santos
 
Measures of variation and dispersion report
Measures of variation and dispersion reportMeasures of variation and dispersion report
Measures of variation and dispersion reportAngelo
 
Mean absolute deviation about mean
Mean absolute deviation about meanMean absolute deviation about mean
Mean absolute deviation about meanNadeem Uddin
 
Measure of dispersion statistics
Measure of dispersion statisticsMeasure of dispersion statistics
Measure of dispersion statisticsTanvirkhan164
 
Correlation & regression uwsb (3)
Correlation & regression   uwsb (3)Correlation & regression   uwsb (3)
Correlation & regression uwsb (3)Arnab Roy Chowdhury
 
ANOVA - Dr. Manu Melwin Joy - School of Management Studies, Cochin University...
ANOVA - Dr. Manu Melwin Joy - School of Management Studies, Cochin University...ANOVA - Dr. Manu Melwin Joy - School of Management Studies, Cochin University...
ANOVA - Dr. Manu Melwin Joy - School of Management Studies, Cochin University...manumelwin
 
Measures of Dispersion
Measures of DispersionMeasures of Dispersion
Measures of DispersionSuresh Babu
 
Time series forecasting
Time series forecastingTime series forecasting
Time series forecastingSublaxmi Gupta
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendencyRaj Teotia
 

What's hot (19)

Measure of central tendency
Measure of central tendencyMeasure of central tendency
Measure of central tendency
 
An overview of statistics management with excel
An overview of statistics management with excelAn overview of statistics management with excel
An overview of statistics management with excel
 
QUARTILE DEVIATION
QUARTILE DEVIATIONQUARTILE DEVIATION
QUARTILE DEVIATION
 
3.3g
3.3g3.3g
3.3g
 
STANDARD DEVIATION (2018) (STATISTICS)
STANDARD DEVIATION (2018) (STATISTICS)STANDARD DEVIATION (2018) (STATISTICS)
STANDARD DEVIATION (2018) (STATISTICS)
 
3.3 Measures of Variation
3.3 Measures of Variation3.3 Measures of Variation
3.3 Measures of Variation
 
Line and its slope
Line and its slopeLine and its slope
Line and its slope
 
Measures of variability
Measures of variabilityMeasures of variability
Measures of variability
 
Qm 4 20100905
Qm 4 20100905Qm 4 20100905
Qm 4 20100905
 
Standard deviation
Standard deviationStandard deviation
Standard deviation
 
Measures of variation and dispersion report
Measures of variation and dispersion reportMeasures of variation and dispersion report
Measures of variation and dispersion report
 
Mean absolute deviation about mean
Mean absolute deviation about meanMean absolute deviation about mean
Mean absolute deviation about mean
 
Measure of dispersion statistics
Measure of dispersion statisticsMeasure of dispersion statistics
Measure of dispersion statistics
 
Dispersion uwsb
Dispersion   uwsbDispersion   uwsb
Dispersion uwsb
 
Correlation & regression uwsb (3)
Correlation & regression   uwsb (3)Correlation & regression   uwsb (3)
Correlation & regression uwsb (3)
 
ANOVA - Dr. Manu Melwin Joy - School of Management Studies, Cochin University...
ANOVA - Dr. Manu Melwin Joy - School of Management Studies, Cochin University...ANOVA - Dr. Manu Melwin Joy - School of Management Studies, Cochin University...
ANOVA - Dr. Manu Melwin Joy - School of Management Studies, Cochin University...
 
Measures of Dispersion
Measures of DispersionMeasures of Dispersion
Measures of Dispersion
 
Time series forecasting
Time series forecastingTime series forecasting
Time series forecasting
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendency
 

Similar to Statistics formula43[1]

Statistics formula
Statistics formulaStatistics formula
Statistics formulaHARI MOHAN
 
Business statestics formullas
Business statestics formullasBusiness statestics formullas
Business statestics formullasABHISHEK SHARMA
 
Business statestics formullas
Business statestics formullasBusiness statestics formullas
Business statestics formullasABHISHEK SHARMA
 
Business statestics formullas
Business statestics formullasBusiness statestics formullas
Business statestics formullasABHISHEK SHARMA
 
Statistical formulas
Statistical formulasStatistical formulas
Statistical formulasGaurav Sharma
 
Measures of Dispersion: Standard Deviation and Co- efficient of Variation
Measures of Dispersion: Standard Deviation and Co- efficient of Variation Measures of Dispersion: Standard Deviation and Co- efficient of Variation
Measures of Dispersion: Standard Deviation and Co- efficient of Variation RekhaChoudhary24
 
An Efficient Boundary Integral Method for Stiff Fluid Interface Problems
An Efficient Boundary Integral Method for Stiff Fluid Interface ProblemsAn Efficient Boundary Integral Method for Stiff Fluid Interface Problems
An Efficient Boundary Integral Method for Stiff Fluid Interface ProblemsAlex (Oleksiy) Varfolomiyev
 
Measures of dispersion range qd md
Measures of dispersion range qd mdMeasures of dispersion range qd md
Measures of dispersion range qd mdRekhaChoudhary24
 
Low Complexity Regularization of Inverse Problems - Course #2 Recovery Guaran...
Low Complexity Regularization of Inverse Problems - Course #2 Recovery Guaran...Low Complexity Regularization of Inverse Problems - Course #2 Recovery Guaran...
Low Complexity Regularization of Inverse Problems - Course #2 Recovery Guaran...Gabriel Peyré
 
exactnondifferentialequation-150802123533-lva1-app6892.pptx
exactnondifferentialequation-150802123533-lva1-app6892.pptxexactnondifferentialequation-150802123533-lva1-app6892.pptx
exactnondifferentialequation-150802123533-lva1-app6892.pptxMasoudIbrahim3
 
Lesson 7 measures of dispersion part 2
Lesson 7 measures of dispersion part 2Lesson 7 measures of dispersion part 2
Lesson 7 measures of dispersion part 2nurun2010
 
Important formulas for JEE Main 2020 - Subject-wise List
Important formulas for JEE Main 2020 - Subject-wise ListImportant formulas for JEE Main 2020 - Subject-wise List
Important formulas for JEE Main 2020 - Subject-wise ListKanhaMalik
 
2014 st josephs geelong spec maths
2014 st josephs geelong spec maths2014 st josephs geelong spec maths
2014 st josephs geelong spec mathsAndrew Smith
 
Measures of dispersion unitedworld school of business
Measures of dispersion   unitedworld school of businessMeasures of dispersion   unitedworld school of business
Measures of dispersion unitedworld school of businessArnab Roy Chowdhury
 

Similar to Statistics formula43[1] (20)

Statistics formula
Statistics formulaStatistics formula
Statistics formula
 
Statistics formula
Statistics formulaStatistics formula
Statistics formula
 
Business statestics formullas
Business statestics formullasBusiness statestics formullas
Business statestics formullas
 
Business statestics formullas
Business statestics formullasBusiness statestics formullas
Business statestics formullas
 
Business statestics formullas
Business statestics formullasBusiness statestics formullas
Business statestics formullas
 
14.pdf
14.pdf14.pdf
14.pdf
 
Standard deviation
Standard deviationStandard deviation
Standard deviation
 
MPA-205-REPORT.pptx
MPA-205-REPORT.pptxMPA-205-REPORT.pptx
MPA-205-REPORT.pptx
 
Statistical formulas
Statistical formulasStatistical formulas
Statistical formulas
 
Measures of Dispersion: Standard Deviation and Co- efficient of Variation
Measures of Dispersion: Standard Deviation and Co- efficient of Variation Measures of Dispersion: Standard Deviation and Co- efficient of Variation
Measures of Dispersion: Standard Deviation and Co- efficient of Variation
 
2
22
2
 
WITMSE 2013
WITMSE 2013WITMSE 2013
WITMSE 2013
 
An Efficient Boundary Integral Method for Stiff Fluid Interface Problems
An Efficient Boundary Integral Method for Stiff Fluid Interface ProblemsAn Efficient Boundary Integral Method for Stiff Fluid Interface Problems
An Efficient Boundary Integral Method for Stiff Fluid Interface Problems
 
Measures of dispersion range qd md
Measures of dispersion range qd mdMeasures of dispersion range qd md
Measures of dispersion range qd md
 
Low Complexity Regularization of Inverse Problems - Course #2 Recovery Guaran...
Low Complexity Regularization of Inverse Problems - Course #2 Recovery Guaran...Low Complexity Regularization of Inverse Problems - Course #2 Recovery Guaran...
Low Complexity Regularization of Inverse Problems - Course #2 Recovery Guaran...
 
exactnondifferentialequation-150802123533-lva1-app6892.pptx
exactnondifferentialequation-150802123533-lva1-app6892.pptxexactnondifferentialequation-150802123533-lva1-app6892.pptx
exactnondifferentialequation-150802123533-lva1-app6892.pptx
 
Lesson 7 measures of dispersion part 2
Lesson 7 measures of dispersion part 2Lesson 7 measures of dispersion part 2
Lesson 7 measures of dispersion part 2
 
Important formulas for JEE Main 2020 - Subject-wise List
Important formulas for JEE Main 2020 - Subject-wise ListImportant formulas for JEE Main 2020 - Subject-wise List
Important formulas for JEE Main 2020 - Subject-wise List
 
2014 st josephs geelong spec maths
2014 st josephs geelong spec maths2014 st josephs geelong spec maths
2014 st josephs geelong spec maths
 
Measures of dispersion unitedworld school of business
Measures of dispersion   unitedworld school of businessMeasures of dispersion   unitedworld school of business
Measures of dispersion unitedworld school of business
 

Recently uploaded

mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docxPoojaSen20
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
Micromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of PowdersMicromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of PowdersChitralekhaTherkar
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3JemimahLaneBuaron
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAssociation for Project Management
 
MENTAL STATUS EXAMINATION format.docx
MENTAL     STATUS EXAMINATION format.docxMENTAL     STATUS EXAMINATION format.docx
MENTAL STATUS EXAMINATION format.docxPoojaSen20
 
PSYCHIATRIC History collection FORMAT.pptx
PSYCHIATRIC   History collection FORMAT.pptxPSYCHIATRIC   History collection FORMAT.pptx
PSYCHIATRIC History collection FORMAT.pptxPoojaSen20
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsanshu789521
 

Recently uploaded (20)

mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docx
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Staff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSDStaff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSD
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
Micromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of PowdersMicromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of Powders
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
 
MENTAL STATUS EXAMINATION format.docx
MENTAL     STATUS EXAMINATION format.docxMENTAL     STATUS EXAMINATION format.docx
MENTAL STATUS EXAMINATION format.docx
 
PSYCHIATRIC History collection FORMAT.pptx
PSYCHIATRIC   History collection FORMAT.pptxPSYCHIATRIC   History collection FORMAT.pptx
PSYCHIATRIC History collection FORMAT.pptx
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha elections
 

Statistics formula43[1]

  • 1. STATISTICS FORMULA Ankit Chauhan 17PBA006 Baddi University of emerging sciences and technology
  • 2. Measure of central tedendancy Median Mean Mode
  • 3. 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. Mean  COMBINED MEAN 𝑵 𝟏X͞ 𝟏+𝑵 𝟐X͞ 𝟐 𝑵𝟏+𝑵𝟐 ,  WEIGHTED MEAN ∑𝑾𝑿 ∑𝑾
  • 5. Median Individual N+1/2 (when in points add L+U/2) Continuous M= L+ 𝑁 2 −𝑐𝑓 𝑓 ∗ 𝑖
  • 7. Measure of dispersion Quartile deviation Mean deviation Standard deviation
  • 8. QUARTILE DEVIATION Individual Continuous Q1= 𝑁+1 4 Q3= 3 𝑁+1 4 QD= 𝑄3−𝑄1 2 , QD=𝐿 + 𝑁 4 −𝑐𝑓 𝑓 ∗ 𝑖 Coeff. = 𝑄3−𝑄1 𝑄3+𝑄1
  • 9. STANDARD DEVIATION DIRECT SHORT CUT STEP DEVIATION Individual =SD= 𝚺𝐗 𝟐 𝐍 OR 𝚺(𝐗−𝐗͞ 𝐍 𝚺𝐝𝐱 𝟐 𝐍 − ( 𝚺𝐝𝐱 𝐍 )² = 𝚺𝐝𝐱 𝟐 𝐍 − ( 𝚺𝐝𝐱 𝐍 )² ∗ 𝐂 Discrete & continuous 𝚺𝐟𝐝𝐱² 𝐍 − ( 𝚺𝐟𝐝𝐱 𝐍 )² 𝚺𝐝𝐱′ 𝟐 𝐍 − ( 𝚺𝐝𝐱′ 𝐍 )² ∗ 𝐂 dx’= 𝐝𝐱 𝐂
  • 10. STANDARD DEVIATION  Coefficient of SD= ϭ 𝑋 AND  Coefficient of variation or C.V = ϭ 𝑋 ∗ 100  Combined SD= 𝑵 𝟏ϭ 𝟏+𝑵 𝟐ϭ 𝟐+𝑵 𝟏 𝒅 𝟏+𝑵₂𝒅₂ 𝑵 𝟏+𝑵₂
  • 11. MEAN DEVIATION Individual Discrete & CONTINOUS COFFICENT MD= 𝛴│𝑑 𝑁 MD= 𝛴𝑓│𝑑│ 𝑁 𝑀𝐷 𝑀𝐸𝐷𝐼𝐴N 𝑂𝑅 𝑀𝐸𝐴𝑁
  • 12. SKEWNESS Karl pearson Bowleey Kelly 𝐦𝐞𝐚𝐧 − 𝐦𝐨𝐝𝐞 𝑺𝑫 𝑸𝟑 + 𝑸𝟏 − 𝟐 𝑴𝑬𝑫𝑰𝑨𝑵 𝑸𝟑 − 𝑸𝟏 𝒅𝟗 + 𝒅𝟏 − 𝟐𝒎𝒆𝒅 𝒅𝟗 − 𝒅𝟏
  • 13. Weighted aggregative Methods 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
  • 14. INDEX NUMBERS  Time Reversal Test : P01 X P10 = 1  Factor Reversal Test P01 XQ01 = ΣP1q1/ΣP0q0
  • 15. CORELATION (Actual mean) Assumed mean) Actual data r= 𝛴𝑥𝑦 𝛴𝑥2.𝛴𝑦2 r= 𝑁.𝛴𝑑𝑥𝑑𝑦−𝛴𝑑𝑥.𝛴𝑑𝑦 𝑁𝛴𝑑𝑥²− 𝛴𝑑𝑥 2. 𝑁.𝛴𝑑𝑦²−(𝛴𝑑𝑦)² r= 𝑁.𝛴𝑋𝑌−𝛴𝑋.𝛴𝑌 𝑁.𝛴𝑋²− 𝛴𝑋 2. 𝛴𝑌²−(𝛴𝑌)²
  • 16. When ranks are not given
  • 17. Rank are equal R = 1 − 6[∑𝐷2+ 1 12 (𝑚3−𝑚)+ 1 12 (𝑚3−𝑚) 𝑛3−𝑛
  • 18. REGRESSION 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
  • 19. Equation using coefficient (Using Mean) 1.Y on X Y- X̅) byx= 𝑁.𝛴𝑥𝑦−𝛴𝑥.𝛴𝑦 𝑁.𝛴𝑥²−(𝛴𝑥)² 2.X on Y X-X̅=bxy(Y- bxy= 𝑁.𝛴𝑥𝑦−𝛴𝑦.𝛴𝑥 𝑁.𝛴𝑦²−(𝛴𝑦)²
  • 20. Assumed mean 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
  • 21. Time series Least square method  YC = a +bx  if x =0 then  a = ∑y 𝑁  b = ∑xy ∑x²