Important Formulae_SM2021452
CHAPTER - III

INDICES AND SURDS

(1)      am x an = am+n

(2)      = am-n

(3)      (am)n  = amn

(4)      a–m =

(5)      = a1/m

(6)      (ab)m  = am . bm

(7)      a0 = 1

(8)      a1 = a

(9)

(10)    =

RATIO – PROPORTION – VARIATION

Ratio

(1)      If , then each of these ratios is equal to

Proportion

(2)      If a : b = c : d, then ad = bc = b : a  =  d : c a : c  =  b : d

(3)      If a : b = c : d, then a + b : a – b = c + d : c – d and This is called as COMPONENDO-DIVIDENDO.

(4)      If three quantities a, b and c are such that a : b :: b : c, then  we say that they are in CONTINUED PROPORTION. We also get, b² = ac.

Variation

(6)      Inverse variation:If A a, then A1B1 = A2B2

PERCENTAGES

(1)      x as a percent of y = ´ 100

(2)      y as a percent of x = ´ 100

(3)      Percentage Increase = = .

(4)      Percentage More (or) Percentage Exceeding =

(5)      Percentage Less (or) Percentage Decrease =

(6)      If the price of a commodity increases by r%, then the reduction in consumption so that the expenditure remains the same, is

Instead if it decreases, increase in consumption =

(7)      If the value of a variable is first increased x% and then decreased by y%, then there is % increase or decrease, according to the +ve, or –ve sign respectively.

(8)      If the value of a number is first increased by x% and later decreased by x%, the net change is always a decrease which is equal to %

PROFIT AND LOSS

(1)      Profit = Selling Price (S.P) – Cost Price (C.P)

When S.P. > C.P.,       (i)    Profit = S.P. – C.P.

(ii)   S.P. = C.P. + Profit

(iii)  C.P. = S.P. – Profit

(2)      Profit % = ´ 100

(3)      S.P. = C.P. ´

(4)      When S.P. < C.P., Loss = Cost Price (C.P) – Selling Price (S.P)

(5)      Loss % =  ´ 100

(6)      S.P. = C.P. ´

(7)      When there are two articles having the same cost price and if one article is sold at a% profit and the other is sold at a% loss, profit % or loss % is zero.

(8)      If there are two articles having the same selling price and one is sold at x% profit and the other is sold at x% loss, effectively, a loss will always be made and the loss percent is%

(9)      Discount = M.P. – S. P.

(10)    Discount % =  ´ 100

(11)    When M.P and Discount % are given,

S.P. =

(12)    When an article is sold after two successive discounts of p% and q%, then the final selling price =.

(13)    If cost price of x articles is equal to the selling price of y articles, then profit or loss percentage
= %

(14)    If the shopkeeper sells goods at cost price but gives lesser weight than true weight, then

Gain percentage =

(15)    If the shopkeeper sells his goods at a% loss on cost price but uses b gm instead of c gm, then his % profit or loss is as the sign is +ve or –ve.

SIMPLE INTEREST – COMPOUND INTEREST

(1)      Simple Interest =

(2)      Amount (A) = P

(3)      Compound interest = P

(4)           Amount under C.I = P

(5)      If a sum becomes x times in y years at CI then it will be (x)n times in ny years.

(6)      If a sum of money becomes ‘m’ times in ‘t’ years at SI, the rate of interest is given by

(a)

(b)   Also to become n times, time taken =

(7)      If amount under Compound Interest for n years and (n + 1) years is known, then the rate of interest is given by

(8)      Difference between the compound interest and simple interest on a certain sum of money for 2years at r% rate is given by

Sum

(9)      Difference between CI and SI on a certain sum for 3 years at r% is given by

AVERAGES – MIXTURES – ALLIGATION

(1)      Average =

(2)

=

TIME AND WORK – PIPES AND CISTERNS

(1)      Work and men are directly proportional to each other, i.e.,

Men and days are inversely proportional

Men and hours are inversely proportional

Joint variation of the above can be written as

(2)      If A can do a piece of work in x days and B can do it in y days, then A and B working together will do the same work in days.

(3)      If a pipe can fill a tank in  x hours , and another pipe can empty the full tank in y hours, then the time taken to fill the tank, when both the pipes are opened =

TIME AND DISTANCE – CIRCULAR TRACKS

Speed

(1)      Distance covered per unit time is called speed.

i.e., Speed = Distance/Time

(2)      If two bodies travel with the same speed, Distance covered µ Time (Direct Variation).

If two bodies travel for the same period of time, Distance covered µ Speed (Direct Variation).

If two bodies travel in the same distance, Time µ  (Inverse Variation)

Joint variation of these is

(3)      To convert speed in kmph to m/sec, multiply it with (5/18).

To convert speed in m/sec to kmph, multiply it with (18/5).

(4)      Relative Speed:

(i)    In the same direction, difference of the speeds of the two bodies.

(ii)   In opposite direction = Sum of the speeds of the two bodies.

(5)      Average Speed =

(6)      (a)   If a person travels a distance at a speed of x km/hr and the same distance either in the same direction or
the other way at a speed of y km/hr, then the average speed during the whole journey is given by
km/hr

(b)   Instead if distances are in the ratio m : n, then average speed =

(7)      Speed of the boat against stream (or) Upstream Speed = Speed of the boat in still water – Speed of the stream.

(8)      Speed of the boat with the stream (or) Downstream Speed = Speed of the boat in still water + Speed of the stream.

(9)      If two persons cover a certain distance at different speeds reaching at different times, then that distance

=

(10)    If two persons A and B start at the same time in  opposite directions form two points and after passing each other they complete the journey in ‘a’ and ‘b’ hrs respectively, then A’s speed : B’s speed =

Trains:

(1)      Time taken by a train of length ℓt travelling at a speed of st to cross a

(a)   pole (or) a tree =

(b)   platform of length ℓp =

(2)      Time taken by two trains of lengths ℓ 1 and ℓ 2 travelling at speeds of s1 and s2 to cross each other is given by = (opposite Direction)

= (Same Direction)

Circular Tracks

When two people are running around a circular track starting at the same time from the same point, we would be interested in finding out the time taken by them to meet for the first time anywhere on the track or to meet for the first time at the starting point.

They start running from the same point at the same time. Then the following table gives complete details for finding out the time required for various meetings as discussed above.

 Situation      Time taken Two people A and B running in opposite directions Two people A and B running in the same direction Three people A, B and C running in the same direction To meet for             the first time anywhere on the track LCM of {L/(a – b),  L/(b – c)} To meet for the first time at the starting point LCM of {L/a, L/b} LCM of {L/a, L/b} LCM of {L/a, L/b, L/c}

GEOMETRY & MENSURATION

In a regular polygon of n sides, each of the interior angles.

d = ´ 90°

Each exterior angle =

No. of diagonals =

Area of a regular polygon = 1/2  ´ Perimeter ´ Perpendicular distance from the centre to any side.

MENSURATION

Triangles

(i)       For any triangle

(a)   When the measurements of sides a, b, c are given, Area

=

where s =

(b)   When height and base are given,

Area = 1/2 ´ Base x Altitude = 1/2 a.h

(c)   Area = 1/2 ab . sinC = 1/2 bc.sinA =1/2 ca.sinB

(d)   Area = where R is the circumradius.

(e)   Area = s.r where r is the inradius.

(ii)      (a)   For a right angled triangle, area = 1/2 ´ Product of the sides containing the right angle.

(b)   In a right angled triangle, circumradius =

(iii)     For an equilateral triangle, area = where "a" is the side of the triangle.

(iv)     For an isosceles triangle where "a" is length of two sides which are equal and b is the third side.

Area =

(a)   Area = 1/2 ´ one diagonal ´ sum of offsets (or perpendiculars) drawn to this diagonal from the two
opposite vertices

(b)   Area = 1/2 x Product of diagonals ´ Sine of the angle between them

(ii)      For a cyclic quadrilateral, Area

=  where s is the semi-perimeter, i.e., s = (a + b + c + d)/2

(iii)     For a trapezium, area = 1/2 ´ Sum of parallel sides ´ Height

(iv)     For a Parallelogram

(a)   Area = Base ´ height

(b)   Area = Product of two sides ´ Sine of included angle

(v)      Rhombus, Area = 1/2 ´ Product of the diagonals

Side =

(vi)     For a Rectangle, Area = Length ´ Breadth

(vii)    For a Square

(a)   Area = side2

(b)   Area = 1/2 ´ Diagonal2

[Diagonal = ´ Side]

(viii)   For a Polygon

(a)   Area of a regular Polygon = 1/2 ´ height ´ perimeter of the polygon (where height is the perpendicular distance from the centre to any side. Please note that the centre of a regular polygon is equidistant from all its sides)

(b)   For a polygon which is not regular, the area has to be found out by dividing the polygon into suitable number of quadrilaterals and triangles and adding up the areas of all such figures present in the polygon.

In measuring the sides of a rectangle, one side is taken x% in excess and the other y% in deficit. The error percent in area calculated from the measurement is in excess or deficit, according to the +ve or –ve sign.

If the side of a triangle, rectangle, square, circle, rhombus (or any 2 - dimensional figure) are increased by x% its area is increased by % or %

Circle

(i)       Area = pr2 where r is the radius of the circle.

Circumference = 2pr

(ii)      Sector of a circle:

Area = ´ pr2 Where θ is the angle of the sector and r is the radius of the circle.

Length of arc = ´ 2pr

(iii)     Circular ring : Area = pR2pr2 = p(R + r)(R - r)

Solids

Solids are three-dimensional objects which, in addition to area, have volume also. For solids, two different types of areas are defined

(a)      Lateral surface area or curved surface area and

(b)      Total surface area.

For any solid, whose faces are regular polygons, No. of faces + No. of vertices = No. of edges + 2

Prism

Lateral surface area = perimeter of base x height

Total surface area = Lateral Surface Area + 2 ´ Area of base

Volume = area of Base ´ height

Cuboid

Lateral surface area = 2( + b).h, where

Total surface area = 2( + b)h + 2b = 2(b + h + bh)

Volume = bh

Longest diagonal of the cuboid =

Cube

Volume = a3 where "a" is the side of the cube.

Lateral surface Area = 4a2 and Total Surface Area = 6a2

Cylinder

Volume = pr2h, where "r" is the radius of the base and "h" is the height

Curved surface area = 2prh and Total Surface Area = 2 prh + 2pr2 (or) 2pr(r + h)

A hollow cylinder has a cross-section of a circular-ring.

Volume of the material contained in a hollow cylindrical ring = p (R2 – r2)h  where R is the outer radius, r the inner radius and h1 the height.

Cone

A cone is equivalent to a right pyramid whose base is a circle. Volume = 1/3 πr2h ; Where r is the radius of the base, h is height of the cone and is the slant height. Curved surface area = π r.;

Total surface area = π r + π r2 = π r( + r)

Sphere

Surface area of a sphere = 4πr2, where r is radius.

Volume of a sphere = (4/3)πr3

SETS AND RELATIONS

(1)      Union of Sets:

(i)    A È B = {x │xÎA or xÎB}

(ii)   If A Ì B, then A È B = B

(iii)  A È f = A

(iv)  A È m = m

(2)      Intersection of Sets:

(i)    A Ç B = {x | x Î A and x Î B}.

(ii)   A Ì B, then A ÇB = A.

(iii)  A Ç f = f.

(iv)  A Ç m = A.

(3)      Difference of Sets:

A - B = {x | x Î A and x Ï B}

Similarly, B - A   = {x Î B│ x Ï A}

(4)      A D B = (A È B) – (A Ç B) = (A – B) È (B – A)

(5)      Some Results:

(1)   A È A = A; A Ç A = A

(2)   A È B = B È A

(3)   A Ç B = B Ç A

(4)   A È (B È C) = (A È B) È C

(5)   A Ç (B Ç C) = (A Ç B) Ç C

(6)   A È (B Ç C) = (A È B) Ç (A È C)

(7)   A Ç (B È C) = (A Ç B) È (A Ç C)

(8)   C - (C - A) = C Ç A

(9)   C - (A Ç B) = (C - A) È (C - B)

(10) C - (A È B) = (C - A) Ç (C - B)

(11) (Ac)c = A

(12) (A È B)c = Ac Ç Bc

(13) (A Ç B)c = Ac È Bc

(14) A D B = (A – B) È (B – A) = (A È B) – (A Ç B)

(15) n(A È B) = n(A) + n(B) –n(A Ç B)

(6)      Cartesian Product of Two Sets:

Let A and B be any two sets. Then the cartesian product of A and B is the set of all ordered pairs of the form (a, b), where a Î A and b Î B.

The product is denoted by A ´ B

A ´ B = { (a, b)│ a Î A, b Î B}

(i)    A ´ B ¹ B ´ A

(ii)   n(A ´ B) = n(B ´ A) = n(A) ´ n(B)

(iii)  The number of relations defined from A to B = 2n(A) ´ n(B)

(7)      Reflexive Relation:

(i)    A relation R on a set A is said to be reflexive, if for every x Î A, (x, x) Î R.

(ii)   If 'A' has n elements then a reflexive relation must have at least 'n' ordered pairs.

(iii)  The number of reflexive relations defined from A to A = .

(8)      Symmetric Relation:

A relation R on a set is said to be symmetric if  (x, y) Î R Þ (y, x) Î R

(1)   The necessary and sufficient condition for a relation R to be symmetric is R = R-1.

(9)      Transitive Relation:

A relation R on a set A is said to be transitive (x, y) Î R, (y, z) Î R Þ (x, z) Î R.

(10)    Equivalence Relation:

(i)    A relation which is reflexive, symmetric and transitive is called an equivalence relation.

(ii)   The smallest equivalence relation on a set A is the identity relation.

(iii)  The largest equivalence relation on a set A is the cartesian product A ´ A.

(11)    Antisymmetric Relation:

R is antisymmetric if (a, b) Î R, (b, a) Î R Þ a = b

(12)    Partially Ordered Relation:

Let R be a relation on a set A, then R is said to be a partial order relation if it is reflexive, antisymmetric and transitive.

FUNCTIONS

(1)      Number of functions from a set A containing m elements to another set B containing n elements is nm.

One-to-One Function (Injection):

(2)      f: A ® B is one-one if x1 ¹ x2 Þ f(x1) ¹ f(x2), Equivalently f(x1) = f(x2) Þ x1 = x2.

(3)      The number of one-one functions defined from set A to set B is .

(4)      Onto Function (Surjection):

(i)    If f is onto, range of f = co-domain of f.

(ii)   If n(A) = m; n(B) = 2, then the number of onto functions defined from  A to B is 2m – 2.

Bijection:

If a function is both one-to-one and onto, then it is called a bijective function or bijection.

The number of bijective functions defined from A to B is m! where n(A) = n(B) = m

Composite Function or Product Function:

If f: A ® B and g : B ® C are two functions, then g o f is a function from A to C, such that g o f(a) = g[f(a)], for every a Î A and is called the composite mapping of f and g.

(1)      If f: A ® B and g: B ® C are two bijective functions, then (g o f)- 1 = f-1 o g-1.

(2)      If h: A ® B, g: B ® C and f: C ® D be any three functions, then f o (g o h) = (f o g) o h.

(3)      (f o f -1) (x) = x or f o f-1 = I.

Real Function:

Given below are the domain and range of the various trigonometric functions.

 Function Domain Range sin x R [-1, 1] cos x R [-1, 1] tan x R-{(2n+1) p/2 | nÎZ } R cot x R - {np | nÎZ} R sec x R-{(2n+1) p/2 | nÎZ} (- ¥, -1] È [1, ¥) cosec x R-{np | n Î Z} (- ¥, -1] È [1, ¥)

MATHEMATICAL LOGIC

(1)      If p = T and q = T then p Ù q = T

(2)      If p = F, q = F then p Ú q = F

(3)      If p = T, q = F then p Þ q = F

(4)      (p Þ q) = ~ p Ú q

(5)      Converse of p Þ q = q Þ p

(6)      Inverse of p Þ q = ~p Þ ~q

(7)      Contropositive of p Þ q = ~q Þ ~p

(8)      p Û q = (p Þ q) Ù(q Þ p)

(9)      ~(p Ú q) = ~p Ù ~q

(10)    ~(p Ù q) = ~p Ú ~q

(11)    ~(p Þ q) =p Ù ~q

(12)    ~(p Û q) = ~p Û q

= p Û ~q

Some Logical Equivalences:

(1)      Commutative Properties:

p Ú q º q Ú p ; p Ù q º q Ù p

(2)      Associative Properties:

p Ú (q Ú r) º (p Ú q) Ú r ; p Ù (q Ù r) º (p Ù q) Ù r

(3)      Distributive Properties:

p Ú (q Ù r) º (p Ú q) Ù (p Ú r) ;

p Ù (q Ú r) º (p Ù q) Ú (p Ù r)

(4)      Idempotent Properties:

p Ú p = p ; p Ù p = p

(5)      Absorption :

p Ú (p Ù q) = p

p Ù (p Ú q) = q

List of Tautologies:

(a)      p Ù q Þ p or p Ù q Þ q

(b)      p Þ p Ú q or q Þ p Ú q

(c)      ~p Þ (p Þ q) or ~(p Þ q) Þ p

(d)      (p Ù(p Þ q)) Þ q

(e)      (~p Ù (p Ú q)) Þ q

(f)       (~q Ù (p Þ q)) Þ ~p

(g)      ((p Þ q) Ù (q Þ r)) Þ (p Þ r)

hypothetical syllogism or transitive rule

Operations with F and T:

(T – Tautology and F – Contradiction)

(a)      p Ú ~p = T

(b)      p Ù ~p = F

(c)      T Ú p = T

(d)      F Ù p = F

(e)      F Ú p = p

(f)       T Ù p = p

(g)      ~F =

(h)      ~T = F

INEQUALITIES AND MODULUS

(i)       If a > b, then b < a

(ii)      If a > b and b > c, then a > c

(iii)     If a < b and b < c, then a < c

(iv)     If a > b and c > 0 then a ± c > b ± c

(v)      If a > b and c > 0, then ac > bc

(vi)     If a < b and c > 0, then ac < bc

(vii)    If a > b and c < 0, then ac < bc

(viii)   If a < b and c < 0, then ac > bc

(ix)     If a > 0, then -a < 0 and if a > b, then -a < -b

(x)      If a and b are positive numbers and a > b, then 1/a < 1/b,

(xi)     If A, G and H are the Arithmetic mean, Geometric mean and Harmonic mean of n positive real numbers, then A ³ G ³ H, the equality occurring only when the numbers are all equal.

Properties of modulus:

(1)      x = 0 Û |x| = 0

(2)      |x| ³ 0 and – |x| £ 0

(3)      |x + y| £ |x| + |y|

(4)      | |x| - |y| | £  |x - y|

(5)      -|x| £ x £ |x|

(6)      |xy| = |x| . |y|

(7)      = , y ¹ 0

(8)      |x|2 = x2

MATRICES AND DETERMINANTS

(1)      A = , then A2 –(a + d) A = [bc – ad]I.

(2)      If A = , then An =

(3)      If A = , then det A = ad – bc

(4)      If A is a n ´ n matrix, then

det(KA) = Kn det A.

(5)      det(A–1) =

(6)      If A is a n ´ n matrix, then

det(adjA) = (det A)n – 1.

(7)      If A = , then adj A =

(8)      If A = , then A–1 =

(9)      det(AB) = detA.detB

BINOMIAL THEOREM AND REMAINDER THEOREM

(1)      The nPr and nCr representation:

(i)    For 0 £ r £ n,

and

(ii)   nCr = nCn - r

(iii)  If nCr = nCs, then r = s or r + s = n

(2)      Binomial Theorem for a Positive Integral Index:

(i)    If 'n' is a positive integer, then

(x + y)n = nC0xn + nC1xn - 1y1 + nC2xn - 2y2+..... + nCrxn - ryr +…..+nCnyn,

(ii)   Number of terms in the expansion is n + 1

(iii)  General Term in the Expansion of (x + y)n is

\ Tr + 1 = nCr  xn - r  yr,

(iv)  The general term in the expansion of (x - y)n is Tr+1 = (-1)r  nCr  xn - r . yr

(v)   If 'n' is even, there exists only one middle term, which is term

(vi)  If 'n' is odd, there will be two middle terms i.e. and terms.

(vii) The Greatest Coefficient in the Expansion of (1 + x)n (where n is a positive integer): is

= n/2 (if n is even)

nc =  or nc  (if n is odd)

(viii)       The coefficient of xk in the expansion is Tr + 1, then r = .

(ix)  The constant term in is Tr + 1, then r = .

(x)   The number of terms in (a + b + c)n is

(3)      Numerically Greatest term in the Expansion of (1 + x)n:

The numerically greatest term in the expansion of (1 + x)n is found out using the following process. We calculate the value of :

(i)    If = an integer, say 'k', then kth and (k + 1)th terms are numerically greatest terms

(ii)   If is not an integer, say k + a; where 0 < a < 1, (k + 1)th term is numerically greatest term.

(4)      Properties of Binomial Coefficients:

(i)    C0 + C1 + C2 + ....... + Cn = 2n

i.e., sum of all the binomial coefficients in the expansion of (1 + x)n is 2n

(ii)   C1 + C3 + C5 + . . . . = = 2n - 1

C0 + C2 + C4 . . . . = 2n - 1

i.e. sum of coefficients of odd terms is equal to the sum of coefficients of even terms and each sum is 2n - 1

(iii)  Let f(x) = (ax +b)n

The sum of all coefficients = f(1)

The sum of even coefficients =

The sum of odd coefficients =

(iv)  The ratio of the two successive terms in (ax + by)n is

(5)      Expansions:

(i)    (1 - x)-1 = 1 + x + x2 + x3 + ........ + xr + .......

(ii)   (1 + x)-1 = 1 - x + x2 - x3 + ....... + (-1)r xr +......

(iii)  (1 - x)-2 = 1 + 2x + 3x2 + 4x3 + ........ + (r + 1)xr + .......

(iv)  (1 + x)-2 = 1 - 2x + 3x2 - 4x3 + ....... + (-1)r(r + 1)xr + ......

(6)      Remainder Theorem:

(i)    If a polynomial, say f(x), is divided by (x - a), then the remainder is f(a).

(ii)   If f(x) is a polynomial such that f(a) = 0, then (x - a) is a factor of f(x).

(iii)  If the sum of the coefficients of all the terms in the polynomial f(x) is zero, then (x - 1) is a factor of f(x).

(iv)  If the sum of the coefficients of odd powers of x is equal to the sum of the coefficients of even powers of x, then (x+1) is a factor.

(v)   If f(x) is divided by ax + b, then remainder is f (- b/a).

(vi)  When a polynomial, say f(x) is divided by a polynomial p(x) to give a quotient q(x) and a remainder r(x), by division algorithm

Dividend = [Divisor ´ Quotient] + Remainder we have, f(x) = p(x) ´ q(x) + r(x)

STATISTICS

(1)      Arithmetic mean (A.M. or ):

(i)    Individual series:

=

(ii)   Discrete series:

=

where x1, x2, .… x n are n distinct values with frequencies f1, f2, f3, …., f n respectively.

(iii)  Continuous series:

= =

where f1, f2, f3 ,…. fn are the frequencies of the classes whose  mid-values are m1, m2, … mn respectively.

(iv)  The algebraic sum of deviations taken about mean is zero.

(v)   Mean of first n natural numbers is (n+1)/2

(vi)  Arithmetic mean of two numbers a and b is (a + b)/2

(vii) Combined Mean: If x1 and x2 are the arithmetic means of two series with n1 and n2 observations respectively, the combined mean,

(2)      Geometric Mean (G.M.) for Individual series

(i)    G.M. = (x1. x2. x3 …. xn)1/ n ,

(ii)   Geometric mean of two numbers a and b is

(iii)  If b is G.M. of a and c then a, b and c are in a geometric progression.

(3)      Harmonic Mean (H.M.) for Individual series:

(i)    H =

where x1, x2,  …. xn are n observations.

(ii)   Harmonic mean of two numbers a and b is .

(iii)  (GM)2 = AM ´ HM.

(4)      Median:

(i)    Individual series:

If x1, x2, …. xn are arranged in ascending order of  magnitude then the median is the size of  item.

(ii)   Discrete series:

Median is the value of the variable x for which the cumulative frequency just exceeds or equals , N being the total frequency.

(iii)  Continuous series:

Median = l +

where    l = lower boundary of the median class (or the class in which N/2th item lies)

m = cumulative frequency upto the median.

c = width of the class interval

f = frequency of median class

N = Total frequency i.e., N = åfi

(iv)  The sum of absolute deviations taken about median is least.

(5)      Mode for continuous series:

Mode =

where l1 = lower boundary of the modal class (class, where the frequency is maximum)

c  = width of the class

D1 = f – f1

D2  = f – f2

f = frequency of the modal class

f1 = frequency of the class which immediately precedes modal class

f2  = frequency of the class which immediately succeeds modal class

(6)      Empirical Formula:

(i)    For moderately symmetrical distribution,

Mode = 3 median – 2 mean

(ii)   For a symmetric distribution,

Mode = Mean = Median.

(7)      Measures of Dispersion:

(1)   Quartile Deviation (Q.D.): Q.D. =

where    Q1 ®  size of (n+1)/4th item

Q3 ® size of 3(n+1)/4th item

(2)   Mean Deviation (M.D.) for Individual series:

(i)    M.D. =

where x1, x2 …. xn are the n observations and A is the mean or median or mode.

(ii)   Mean deviation about the median is the least.

(iii)Mean deviation of two numbers a and b is .

(3)   Standard Deviation (S.D.):

Individual series:

(i)    S.D. (s ) =      where x1, x2, …. xn are n observations with mean as x

(ii)

(iii)  For a discrete series in the form a, a + d, a + 2d, ……(A.P.), the standard deviation is given by
S.D. = d, where n is number of terms in the series.

(4)   Coefficient of variation (CV) is defined as, CV =

(5)   Correlation: We confine our study of correlation to Spearman's rank correlation co-efficient.

r = 1 – [di = (xi - yi); i = 1, 2, 3,  . . . . , n]

Co-efficient of correlation:

(1)      Limits of correlation coefficient –1 £ r £ 1.

(2)      r = + 1, perfect positive correlation.

(3)      r = – 1, perfect negative correlation.

(4)      r = 0, we infer that there is no linear correlation.

(5)      r > 0, positive correlation.

(6)      r < 0, negative correlation.

(7)      Coefficient of skewness:

Sk =

PROBABILITY

(1)      P(E) =

(2)      P = 1 – P(E).

(3)      P(A Ç B) = P(A).P(B) when A, B are independent events.

(4)      P(A È B) = P(A) + P(B) –P(A Ç B)

(5)      When n coins are tossed the probability of getting r heads =

(6)      The odd infavour of E is a : b, then P(E) = ,P = ,

LIMITS

(1)         k f(x) = k f(x)

(2)      [f(x) ± g(x)] = f(x) ± g(x)

(3)      [f(x) . g(x)] =  f(x) .  g(x)

(4)      =

(5)      = 1

(6)      = 1

(7)      = a

(8)      = a/b

(9)      = a/b

(10)    =

(11)

(12)    If k and ‘n’ are constants, |x| > 0 and n > 0 then

and

(13)

(14)

(15)

(16)    = 1

(17)    (1 + x)1/x = e

(18)    (1 + 1/x)x = e

(19)    = 1

(20)    = loge a

(21)

(22)

(23)    L’ Hospitals Rule

(i)    If is of the indeterminate form , then .

(ii)   If is also of indeterminate form and so on

DIFFERENTIATION

(1)      = f '(x)

(2)      (k) = 0

(3)      k.f(x) = k f(x)

(4)      [f(x) ± g(x)] = f(x) ± g(x)

(5)      {f(x).g(x)}= f '(x).g(x)+f(x).g ' (x)

(Product rule or 'uv' rule)

(6)

(7)      If y = f(u) and u = g(x) be two functions, then dy/dx = (dy/du) ´ (du/dx)

(8)      (i)    (xn)= n.xn–1

(ii)   =

(9)      [ax + b]n = n.a(ax + b)n–1

(10)    [eax] = a.eax

(11)    [logx] =

(12)    [ax] = ax.loga

(13)    [sinx] = cosx

(14)    [cosx] =  – sinx

(15)    [tanx] = sec²x

(16)    [cotx] =  – cosec²x

(17)    [secx] = secx.tanx

(18)    [cosecx] = – cosecx.cotx

(19)    If y =  then

then