INSTALL
@440841721
"Scientific Approach"
@440841721
3,795
फॉलोअर्स
6
फॉलोइंग
6,124
पोस्ट
follow करे www.youtube.com/scientificapproach
Follow
"Scientific Approach"
526 ने देखा
Happy holi to all
#holi
7
10
कमेंट
"Scientific Approach"
536 ने देखा
Physics
#physics
7
16
कमेंट
"Scientific Approach"
547 ने देखा
Maths
#maths
5
10
कमेंट
"Scientific Approach"
552 ने देखा
Maths
#Maths guru
#maths
10
6
कमेंट
"Scientific Approach"
373 ने देखा
Maths
#maths
14
11
कमेंट
"Scientific Approach"
985 ने देखा
English
#english
#grammer
8
15
कमेंट
"Scientific Approach"
639 ने देखा
Chemistry
#chemistry
#science
6
6
कमेंट
"Scientific Approach"
350 ने देखा
Maths
#maths formula
#maths
8
18
कमेंट
"Scientific Approach"
501 ने देखा
Maths
#maths
15
8
कमेंट
"Scientific Approach"
601 ने देखा
Physics
#physics
13
14
कमेंट
Your browser does not support JavaScript!
![maths - Starisrics Complefe Formulas 1. Mean (Arithmetic Mean) 2. Median (a) Individual Series () Individudl Series Ex n+lth observation] Mean Median 2 (b) Discrete Series (b) Discrete Series Efx Value corresponding 1o Median Mean Zf 2 cumuldtive frequency 2 (c) Continuous Series Direct Method (c) Continuous Series Efx Mean [(ڈ-4)]xh Zf Median + (d) Assumed Mean Method] ऋ = a + (Efd 1 = lower limit of median class] Where: Zf frequency before cf = cumulafive Where: d = _ 0 median class Step (e) Deviation Method f = frequency of median class Zfd` h = clqss width Xh x =a + Zf Q Where: d = 4. Empirical Relation Mode = 3 Median २ Mean 3. Mode (a) Discrete Individual Series frequency of modal class f1 frequently Value occurring Mode frequency of preceeding class most fo frequency of succeeding class (b) Continuous Series f2 fol Mode = [ + Xh 2f1 fo - f2 6. Standard Deviation] Sfandard Deviafion (o) = V Variance 5. Variance] V02 () Individudl Series E( 7. Coefficient of Variation (CV) 02 డ (b) Discrete Series CV = X 100 Ef( ~) 02 ٤f 8. Comparison of Two Data Sets Step Deviation Method (c) Gredter CV = Gredter varidbility [Zfd2 Efal X h२ 02 consisfency Smaller CV = More Zf Zf Starisrics Complefe Formulas 1. Mean (Arithmetic Mean) 2. Median (a) Individual Series () Individudl Series Ex n+lth observation] Mean Median 2 (b) Discrete Series (b) Discrete Series Efx Value corresponding 1o Median Mean Zf 2 cumuldtive frequency 2 (c) Continuous Series Direct Method (c) Continuous Series Efx Mean [(ڈ-4)]xh Zf Median + (d) Assumed Mean Method] ऋ = a + (Efd 1 = lower limit of median class] Where: Zf frequency before cf = cumulafive Where: d = _ 0 median class Step (e) Deviation Method f = frequency of median class Zfd` h = clqss width Xh x =a + Zf Q Where: d = 4. Empirical Relation Mode = 3 Median २ Mean 3. Mode (a) Discrete Individual Series frequency of modal class f1 frequently Value occurring Mode frequency of preceeding class most fo frequency of succeeding class (b) Continuous Series f2 fol Mode = [ + Xh 2f1 fo - f2 6. Standard Deviation] Sfandard Deviafion (o) = V Variance 5. Variance] V02 () Individudl Series E( 7. Coefficient of Variation (CV) 02 డ (b) Discrete Series CV = X 100 Ef( ~) 02 ٤f 8. Comparison of Two Data Sets Step Deviation Method (c) Gredter CV = Gredter varidbility [Zfd2 Efal X h२ 02 consisfency Smaller CV = More Zf Zf - ShareChat](https://cdn4.sharechat.com/bd5223f_s1w/compressed_gm_40_img_293606_2f88db3a_1772507292452_sc.jpg?tenant=sc&referrer=user-profile-service%2FrequestType50&f=452_sc.jpg "maths - Starisrics Complefe Formulas 1. Mean (Arithmetic Mean) 2. Median (a) Individual Series () Individudl Series Ex n+lth observation] Mean Median 2 (b) Discrete Series (b) Discrete Series Efx Value corresponding 1o Median Mean Zf 2 cumuldtive frequency 2 (c) Continuous Series Direct Method (c) Continuous Series Efx Mean [(ڈ-4)]xh Zf Median + (d) Assumed Mean Method] ऋ = a + (Efd 1 = lower limit of median class] Where: Zf frequency before cf = cumulafive Where: d = _ 0 median class Step (e) Deviation Method f = frequency of median class Zfd` h = clqss width Xh x =a + Zf Q Where: d = 4. Empirical Relation Mode = 3 Median २ Mean 3. Mode (a) Discrete Individual Series frequency of modal class f1 frequently Value occurring Mode frequency of preceeding class most fo frequency of succeeding class (b) Continuous Series f2 fol Mode = [ + Xh 2f1 fo - f2 6. Standard Deviation] Sfandard Deviafion (o) = V Variance 5. Variance] V02 () Individudl Series E( 7. Coefficient of Variation (CV) 02 డ (b) Discrete Series CV = X 100 Ef( ~) 02 ٤f 8. Comparison of Two Data Sets Step Deviation Method (c) Gredter CV = Gredter varidbility [Zfd2 Efal X h२ 02 consisfency Smaller CV = More Zf Zf Starisrics Complefe Formulas 1. Mean (Arithmetic Mean) 2. Median (a) Individual Series () Individudl Series Ex n+lth observation] Mean Median 2 (b) Discrete Series (b) Discrete Series Efx Value corresponding 1o Median Mean Zf 2 cumuldtive frequency 2 (c) Continuous Series Direct Method (c) Continuous Series Efx Mean [(ڈ-4)]xh Zf Median + (d) Assumed Mean Method] ऋ = a + (Efd 1 = lower limit of median class] Where: Zf frequency before cf = cumulafive Where: d = _ 0 median class Step (e) Deviation Method f = frequency of median class Zfd` h = clqss width Xh x =a + Zf Q Where: d = 4. Empirical Relation Mode = 3 Median २ Mean 3. Mode (a) Discrete Individual Series frequency of modal class f1 frequently Value occurring Mode frequency of preceeding class most fo frequency of succeeding class (b) Continuous Series f2 fol Mode = [ + Xh 2f1 fo - f2 6. Standard Deviation] Sfandard Deviafion (o) = V Variance 5. Variance] V02 () Individudl Series E( 7. Coefficient of Variation (CV) 02 డ (b) Discrete Series CV = X 100 Ef( ~) 02 ٤f 8. Comparison of Two Data Sets Step Deviation Method (c) Gredter CV = Gredter varidbility [Zfd2 Efal X h२ 02 consisfency Smaller CV = More Zf Zf - ShareChat")
![maths - Starisrics Complefe Formulas 1. Mean (Arithmetic Mean) 2. Median (a) Individual Series () Individudl Series Ex n+lth observation] Mean Median 2 (b) Discrete Series (b) Discrete Series Efx Value corresponding 1o Median Mean Zf 2 cumuldtive frequency 2 (c) Continuous Series Direct Method (c) Continuous Series Efx Mean [(ڈ-4)]xh Zf Median + (d) Assumed Mean Method] ऋ = a + (Efd 1 = lower limit of median class] Where: Zf frequency before cf = cumulafive Where: d = _ 0 median class Step (e) Deviation Method f = frequency of median class Zfd` h = clqss width Xh x =a + Zf Q Where: d = 4. Empirical Relation Mode = 3 Median २ Mean 3. Mode (a) Discrete Individual Series frequency of modal class f1 frequently Value occurring Mode frequency of preceeding class most fo frequency of succeeding class (b) Continuous Series f2 fol Mode = [ + Xh 2f1 fo - f2 6. Standard Deviation] Sfandard Deviafion (o) = V Variance 5. Variance] V02 () Individudl Series E( 7. Coefficient of Variation (CV) 02 డ (b) Discrete Series CV = X 100 Ef( ~) 02 ٤f 8. Comparison of Two Data Sets Step Deviation Method (c) Gredter CV = Gredter varidbility [Zfd2 Efal X h२ 02 consisfency Smaller CV = More Zf Zf Starisrics Complefe Formulas 1. Mean (Arithmetic Mean) 2. Median (a) Individual Series () Individudl Series Ex n+lth observation] Mean Median 2 (b) Discrete Series (b) Discrete Series Efx Value corresponding 1o Median Mean Zf 2 cumuldtive frequency 2 (c) Continuous Series Direct Method (c) Continuous Series Efx Mean [(ڈ-4)]xh Zf Median + (d) Assumed Mean Method] ऋ = a + (Efd 1 = lower limit of median class] Where: Zf frequency before cf = cumulafive Where: d = _ 0 median class Step (e) Deviation Method f = frequency of median class Zfd` h = clqss width Xh x =a + Zf Q Where: d = 4. Empirical Relation Mode = 3 Median २ Mean 3. Mode (a) Discrete Individual Series frequency of modal class f1 frequently Value occurring Mode frequency of preceeding class most fo frequency of succeeding class (b) Continuous Series f2 fol Mode = [ + Xh 2f1 fo - f2 6. Standard Deviation] Sfandard Deviafion (o) = V Variance 5. Variance] V02 () Individudl Series E( 7. Coefficient of Variation (CV) 02 డ (b) Discrete Series CV = X 100 Ef( ~) 02 ٤f 8. Comparison of Two Data Sets Step Deviation Method (c) Gredter CV = Gredter varidbility [Zfd2 Efal X h२ 02 consisfency Smaller CV = More Zf Zf - ShareChat](https://cdn4.sharechat.com/bd5223f_s1w/compressed_gm_40_img_956284_1cb90884_1772443275863_sc.jpg?tenant=sc&referrer=user-profile-service%2FrequestType50&f=863_sc.jpg "maths - Starisrics Complefe Formulas 1. Mean (Arithmetic Mean) 2. Median (a) Individual Series () Individudl Series Ex n+lth observation] Mean Median 2 (b) Discrete Series (b) Discrete Series Efx Value corresponding 1o Median Mean Zf 2 cumuldtive frequency 2 (c) Continuous Series Direct Method (c) Continuous Series Efx Mean [(ڈ-4)]xh Zf Median + (d) Assumed Mean Method] ऋ = a + (Efd 1 = lower limit of median class] Where: Zf frequency before cf = cumulafive Where: d = _ 0 median class Step (e) Deviation Method f = frequency of median class Zfd` h = clqss width Xh x =a + Zf Q Where: d = 4. Empirical Relation Mode = 3 Median २ Mean 3. Mode (a) Discrete Individual Series frequency of modal class f1 frequently Value occurring Mode frequency of preceeding class most fo frequency of succeeding class (b) Continuous Series f2 fol Mode = [ + Xh 2f1 fo - f2 6. Standard Deviation] Sfandard Deviafion (o) = V Variance 5. Variance] V02 () Individudl Series E( 7. Coefficient of Variation (CV) 02 డ (b) Discrete Series CV = X 100 Ef( ~) 02 ٤f 8. Comparison of Two Data Sets Step Deviation Method (c) Gredter CV = Gredter varidbility [Zfd2 Efal X h२ 02 consisfency Smaller CV = More Zf Zf Starisrics Complefe Formulas 1. Mean (Arithmetic Mean) 2. Median (a) Individual Series () Individudl Series Ex n+lth observation] Mean Median 2 (b) Discrete Series (b) Discrete Series Efx Value corresponding 1o Median Mean Zf 2 cumuldtive frequency 2 (c) Continuous Series Direct Method (c) Continuous Series Efx Mean [(ڈ-4)]xh Zf Median + (d) Assumed Mean Method] ऋ = a + (Efd 1 = lower limit of median class] Where: Zf frequency before cf = cumulafive Where: d = _ 0 median class Step (e) Deviation Method f = frequency of median class Zfd` h = clqss width Xh x =a + Zf Q Where: d = 4. Empirical Relation Mode = 3 Median २ Mean 3. Mode (a) Discrete Individual Series frequency of modal class f1 frequently Value occurring Mode frequency of preceeding class most fo frequency of succeeding class (b) Continuous Series f2 fol Mode = [ + Xh 2f1 fo - f2 6. Standard Deviation] Sfandard Deviafion (o) = V Variance 5. Variance] V02 () Individudl Series E( 7. Coefficient of Variation (CV) 02 డ (b) Discrete Series CV = X 100 Ef( ~) 02 ٤f 8. Comparison of Two Data Sets Step Deviation Method (c) Gredter CV = Gredter varidbility [Zfd2 Efal X h२ 02 consisfency Smaller CV = More Zf Zf - ShareChat")
![maths - Linedr Inequdlities Complete Formulqs 2. LINEAR INEQUALITY IN ONE VARIABLE INEQUALITIES BASIC SYMBOLS General form: Greater than: ax + b > 0 Less thon: ax + b < 0 Greater than or equal toः > b > 0 ax Less than or equal to: < b<0 X 3. RULES FOR SOLVING INEQUALITIES 4. SOLUTION SET Adding or subtracting the same number on both The solution of an inequality is] the set of dll volues of the sides does not change the inequality sign. variable that satisfy it Multiplying or dividing both sides by a positive Inequdlity sign remdins the sume number Multiplying or dividing both sides by a negative Inequality sign is reversed number >2 6. LINEAR INEQUALITIES IN 5. GRAPHICAL REPRESENTATION ON NUMBER LINE TWO VARIABLES Open circle (o) for or General form: Closed circle for < or > by < c 5 X by > c shows direction of solution ax Arrow by < c X by > c aX SOLUTION OF LINEAR INEQUALITY IN 8. GRAPHICAL RULES TWO VARIABLES Dotted line for < or Steps: Solid line for < or 2 Replace inequality with equality: ax by = @ Shaded region represents solution set Draw the boundary line Choose a test point (usually origin) Check which region satisfies the inequality Shade the required region | 10. IMPORTANT POINTS 9. SYSTEM OF LINEAR INEQUALITIES Inequalities have infinitely many solutions The common shaded region satisfying all Graphical method is compulsory for two] inequdlities is the solution variables Boundary line may or may not be included) Linedr Inequdlities Complete Formulqs 2. LINEAR INEQUALITY IN ONE VARIABLE INEQUALITIES BASIC SYMBOLS General form: Greater than: ax + b > 0 Less thon: ax + b < 0 Greater than or equal toः > b > 0 ax Less than or equal to: < b<0 X 3. RULES FOR SOLVING INEQUALITIES 4. SOLUTION SET Adding or subtracting the same number on both The solution of an inequality is] the set of dll volues of the sides does not change the inequality sign. variable that satisfy it Multiplying or dividing both sides by a positive Inequdlity sign remdins the sume number Multiplying or dividing both sides by a negative Inequality sign is reversed number >2 6. LINEAR INEQUALITIES IN 5. GRAPHICAL REPRESENTATION ON NUMBER LINE TWO VARIABLES Open circle (o) for or General form: Closed circle for < or > by < c 5 X by > c shows direction of solution ax Arrow by < c X by > c aX SOLUTION OF LINEAR INEQUALITY IN 8. GRAPHICAL RULES TWO VARIABLES Dotted line for < or Steps: Solid line for < or 2 Replace inequality with equality: ax by = @ Shaded region represents solution set Draw the boundary line Choose a test point (usually origin) Check which region satisfies the inequality Shade the required region | 10. IMPORTANT POINTS 9. SYSTEM OF LINEAR INEQUALITIES Inequalities have infinitely many solutions The common shaded region satisfying all Graphical method is compulsory for two] inequdlities is the solution variables Boundary line may or may not be included) - ShareChat](https://cdn4.sharechat.com/bd5223f_s1w/compressed_gm_40_img_56656_303e7e3b_1772347754829_sc.jpg?tenant=sc&referrer=user-profile-service%2FrequestType50&f=829_sc.jpg "maths - Linedr Inequdlities Complete Formulqs 2. LINEAR INEQUALITY IN ONE VARIABLE INEQUALITIES BASIC SYMBOLS General form: Greater than: ax + b > 0 Less thon: ax + b < 0 Greater than or equal toः > b > 0 ax Less than or equal to: < b<0 X 3. RULES FOR SOLVING INEQUALITIES 4. SOLUTION SET Adding or subtracting the same number on both The solution of an inequality is] the set of dll volues of the sides does not change the inequality sign. variable that satisfy it Multiplying or dividing both sides by a positive Inequdlity sign remdins the sume number Multiplying or dividing both sides by a negative Inequality sign is reversed number >2 6. LINEAR INEQUALITIES IN 5. GRAPHICAL REPRESENTATION ON NUMBER LINE TWO VARIABLES Open circle (o) for or General form: Closed circle for < or > by < c 5 X by > c shows direction of solution ax Arrow by < c X by > c aX SOLUTION OF LINEAR INEQUALITY IN 8. GRAPHICAL RULES TWO VARIABLES Dotted line for < or Steps: Solid line for < or 2 Replace inequality with equality: ax by = @ Shaded region represents solution set Draw the boundary line Choose a test point (usually origin) Check which region satisfies the inequality Shade the required region | 10. IMPORTANT POINTS 9. SYSTEM OF LINEAR INEQUALITIES Inequalities have infinitely many solutions The common shaded region satisfying all Graphical method is compulsory for two] inequdlities is the solution variables Boundary line may or may not be included) Linedr Inequdlities Complete Formulqs 2. LINEAR INEQUALITY IN ONE VARIABLE INEQUALITIES BASIC SYMBOLS General form: Greater than: ax + b > 0 Less thon: ax + b < 0 Greater than or equal toः > b > 0 ax Less than or equal to: < b<0 X 3. RULES FOR SOLVING INEQUALITIES 4. SOLUTION SET Adding or subtracting the same number on both The solution of an inequality is] the set of dll volues of the sides does not change the inequality sign. variable that satisfy it Multiplying or dividing both sides by a positive Inequdlity sign remdins the sume number Multiplying or dividing both sides by a negative Inequality sign is reversed number >2 6. LINEAR INEQUALITIES IN 5. GRAPHICAL REPRESENTATION ON NUMBER LINE TWO VARIABLES Open circle (o) for or General form: Closed circle for < or > by < c 5 X by > c shows direction of solution ax Arrow by < c X by > c aX SOLUTION OF LINEAR INEQUALITY IN 8. GRAPHICAL RULES TWO VARIABLES Dotted line for < or Steps: Solid line for < or 2 Replace inequality with equality: ax by = @ Shaded region represents solution set Draw the boundary line Choose a test point (usually origin) Check which region satisfies the inequality Shade the required region | 10. IMPORTANT POINTS 9. SYSTEM OF LINEAR INEQUALITIES Inequalities have infinitely many solutions The common shaded region satisfying all Graphical method is compulsory for two] inequdlities is the solution variables Boundary line may or may not be included) - ShareChat")
