SlideShare a Scribd company logo
1 of 72
Download to read offline
EQUATIONS


Quantitative Aptitude & Business Statistics
Introduction
• Equation is defined to be
  mathematical statement of equality .
  If the equality is true for certain
  value of variable involved ,the
  equation is often called a conditional
  equation and equality sign used
  (=);while if the equality is true for all
  values of the variable involved ,the
  equation called identity.
              Quantitative Aptitude & Business
                    Statistics: Equations
                                                 2
Simple Equations
• A simple equation is one unknown X
  is in the form aX+b=0
• Where and b are known constants .




            Quantitative Aptitude & Business   3
                  Statistics: Equations
Example
• Solve for X
                  4x      14    19
                     −1 =    x+
                  3       15     5

• By transposing the variables in one side the
  constants in other side ,we have
                 4 x 14 x 19
                    −    =   +1
                  3   15   5
                Quantitative Aptitude & Business   4
                      Statistics: Equations
Solution

( 20 − 14) x   19 + 5
             =
     15           5
6x     24
    =
15      5
      24 × 15
X =            = 12
       5× 6
        Quantitative Aptitude & Business   5
              Statistics: Equations
Example
• The denominator of a fraction
  exceeds the numerator by 5 and if 3
  be added to both the fraction
  becomes ¾.Find the fraction




             Quantitative Aptitude & Business   6
                   Statistics: Equations
Solution
• Let X be the numerator and the
  Fraction be
• X/X+5
• By the      x+3         3
                       =
            x+5+3         4
Question or 4 x + 12 = 3 x + 24
         X = 12

          Quantitative Aptitude & Business   7
                Statistics: Equations
• The required Fraction
           12
           17




            Quantitative Aptitude & Business   8
                  Statistics: Equations
Example
• If thrice A’s age 6 years ago be
  subtracted from twice his present
  age, the result would be equal to his
  present age .Find A’s present age .




             Quantitative Aptitude & Business   9
                   Statistics: Equations
Solution
• Let x’ be years be A’s present age By
  the Question
  2x-3(x-6)=x
  Or 2x-3x+18=x
       x=9
A’s present age is 9 years.
             Quantitative Aptitude & Business   10
                   Statistics: Equations
Example
• A number consists of two digits the
  digits in ten place is twice the digit in
  the units place. If 18 is subtracted
  from the number the digits are
  reversed. Find the number


              Quantitative Aptitude & Business   11
                    Statistics: Equations
Solution
• Let x be the digit in units place .So
  the digits in ten’s place is 2x.
• Thus the number becomes
  10(2x)+x,By the question.
• 20x+x-18=10x+2x
• 21x-18=12x
• X=2
              Quantitative Aptitude & Business   12
                    Statistics: Equations
• So the required number is
  10(2*2)+2=42




            Quantitative Aptitude & Business   13
                  Statistics: Equations
Simultaneous Linear Equations in
         two unknowns
• Methods of Solution
• 1.Method of elimination

• 2Cross Multiplication.



             Quantitative Aptitude & Business   14
                   Statistics: Equations
Elimination Method
• In this method two given linear
  equations are reduced to a linear
  equation in one unknown by
  eliminating one of the unknowns and
  solving for other unknowns.


            Quantitative Aptitude & Business   15
                  Statistics: Equations
Example
• Solve 2x+5y=9 and 3x-y=5

• x=2
• y=1



            Quantitative Aptitude & Business   16
                  Statistics: Equations
Cross Multiplication Method
• a1x+b1y+c=0
• a2x+b2y+c=0
     x    y    1
   b1 c1    a1 b1
  b2    c2    a2 b2

            Quantitative Aptitude & Business   17
                  Statistics: Equations
X                Y               1
               =                =
(b1c2 − b2 c1 ) (c1 a2 − c2 a1 ) (a1b2 − a2 b1 )
   b1c2 − b2 c1       c1a 2 − c2 a1
X=               ;Y =
   a1b2 − a 2 b1      a1b2 −a 2 b
Example
• Solve
3X+2y+17=0 ;a1=3,b1=2.c1=17
5x-6y- 9 = 0 ; a2=5 b2=-6 c3=-9

X=-3,Y=-4

            Quantitative Aptitude & Business   19
                  Statistics: Equations
Quadratic Equation
• An equation of the form ax2+bx+c=0
  where X is variable and a,b and c are
  constants with a≠0 is called a pure
  quadratic equation .
• The roots ;
                     − b ± b − 4ac
                               2
                  X=
                           2a

              Quantitative Aptitude & Business   20
                    Statistics: Equations
Sum and product of roots
• Let the roots of equation be α and                β

                                b
• Sum of roots           ∞+β =−
                                a

• Products of roots ∞β = c
                                                a

             Quantitative Aptitude & Business       21
                   Statistics: Equations
How to construct the Quadratic
            Equation
• For the equation ax2+bx+c=0,we have
  known sum and product of roots

• X2-(Sum of roots )+product of roots=0




              Quantitative Aptitude & Business   22
                    Statistics: Equations
Nature of the Roots

           − b ± b − 4ac       2
        X=
                 2a
• 1) If b2-4ac=0 the roots are real and
  equal
   ii) If b2-4ac>0 the roots are real and
  unequal
   iii) If b2-4ac<0 the roots are
  imaginary
                Quantitative Aptitude & Business   23
                      Statistics: Equations
•       Note ;1- Irrational roots occur in
    pairs that m + n is a root then m −             n
    is the other root of the equation




                Quantitative Aptitude & Business   24
                      Statistics: Equations
Example
• Solve
• X2-5x+6=0 a=1,b=-5 and c= 6

     − b ± b − 4ac
              2
  X=
           2a

• X=3 and 2
              Quantitative Aptitude & Business   25
                    Statistics: Equations
Example
• If α and β be the roots of
  X2+7x+12=0
• Find the equation whose roots are
•(α + β ) 2   and (α − β ) 2



             Quantitative Aptitude & Business   26
                   Statistics: Equations
Solution
•   Hints
•   Sum of roots = 50
•   Product of roots =49(49-48)=49
•   Hence the required equation is
    X2-x(Sum of roots ) +product of roots
    =0
    X2-50x+49=0
               Quantitative Aptitude & Business   27
                     Statistics: Equations
Example
• If α and β be the roots of
• 2x2-4x-1=0 find the value of


       α2   β2
          +
       β    α

             Quantitative Aptitude & Business   28
                   Statistics: Equations
• Sum of roots =-b /a=-(-4)/2=2
• Product of roots =c/a=-1/2


 α β α + β (α + β ) − 3αβ
   2    2     3            3                         3
  + =     =               = −22
 α β  αβ         αβ

                  Quantitative Aptitude & Business       29
                        Statistics: Equations
Example
• Solve
                        x+2
          4 − 3.2
           x
                                 +2 =0     5




               Quantitative Aptitude & Business   30
                     Statistics: Equations
Solution
               x+2
4 − 3.2
 x
                          +2 =0       5


( 2 ) − 3.2 2 + 32 = 0
     2   x                x       2


( 2 ) − 3.2 2 + 32 = 0
     x   2                x       2


y − 12 y + 32 = 0
 2



             Quantitative Aptitude & Business   31
                   Statistics: Equations
Solution
• (y-8)(y-4)=0
• y=8 or y=4

• 2x=8 or 2x=4

• X=3 or 2
             Quantitative Aptitude & Business   32
                   Statistics: Equations
Example
• If one root of the equation is 2 − 3
  form the equation
• Solution
• If one root is 2 − 3 then the other
  roots 2 + 3
• Sum of roots =4
• Product of roots =1
               Quantitative Aptitude & Business   33
                     Statistics: Equations
Solution
• Required equation is
• x2-x(Sum of roots ) +Product of
  roots=0
• x2-4x+1=0



             Quantitative Aptitude & Business   34
                   Statistics: Equations
Example
• Divide 25 into two equal parts so that sum
  of their reciprocal is 1/6

  1       1       1
      +         =
  x     25 − x    6
  x − 25 x + 150 = 0
    2


  ( x − 15)( x − 10) = 0
              Quantitative Aptitude & Business   35
                    Statistics: Equations
• X=10,15
• So the parts of 25 are 10 and 15




             Quantitative Aptitude & Business   36
                   Statistics: Equations
Solution of Cubic Equation
• Solve x3-7x+6=0
• Solution:
• Putting X= 1 LHS is Zero So (x-1) is
  a factor ,the other factors are finding
  by dividing this factor by LHS we
  get the expression (x2+x-6)=0
• The roots (x2+x-6) are 2 and -3
• X=1,2 and -3Quantitative Aptitude & Business   37
                    Statistics: Equations
Examine the nature of roots
•   1.x2-8x+16=0
•   Solution
•   a=1,b=-8 and c=16
•   b2-4ac=0
•   The roots are real and equal.



                 Quantitative Aptitude & Business   38
                       Statistics: Equations
•   2. 3x2-8x+4=0
•   Solution
•   a=3,b=-8 and c=4
•   b2-4ac=16>0
•   The roots are real and unequal

               Quantitative Aptitude & Business   39
                     Statistics: Equations
•   3.5x2-4x+2=0
•   Solution
•   a=5,b=-4 and c=2
•   b2-4ac=-24<0
•   The roots are imaginary and
    unequal
              Quantitative Aptitude & Business   40
                    Statistics: Equations
Example
• The Value of                                 1
                            4+
                                                    1
                                  4+
                                                 1
                                         4+
                                            4 + .........


• Solution
                              2±                        5
                 Quantitative Aptitude & Business           41
                       Statistics: Equations
Application of Co-ordinate
            Geometry
• Co-ordinate Geometry is that branch of
  mathematics which explains the
  problems of geometry with the help of
  algebra.
• 1)The equation of the straight line in
  simple form
• y= mx +c ,where m is slope and c is a
  constant   Quantitative Aptitude & Business
                   Statistics: Equations
                                                42
• If P(x1,y1) and Q(x2,y2) be the two points
  on the line then the distance between two
  points PQ

• PQ=    ( x 2 − x 1 )2 + ( y 2 − y 1 )2



                  Quantitative Aptitude & Business   43
                        Statistics: Equations
• If P(x1,y1) and Q(x2,y2) be the two points on
  the line then the slope
                 y 2 − y1
• Slope (m) =
                x 2 − x1




                Quantitative Aptitude & Business   44
                      Statistics: Equations
• A straight line makes that X
  intercept a’ and Y intercept is b
• Then the equation form is
            x y
             + =1
            a b

             Quantitative Aptitude & Business   45
                   Statistics: Equations
• 1.Two lines are having slopes m1 and m2
  are parallel to each other if and only if if
        m1 =m2
• 2. Two lines are having slopes m1 and m2
  are perpendicular to each other if and
  only if if
         m1 .m2=-1

                Quantitative Aptitude & Business   46
                      Statistics: Equations
4.)The equation ax+by+c=0 be a straight
  line ,the equation parallel to above line is
    ax+ by +k=0
5.The equation ax+by+c=0 be a straight
  line ,the equation perpendicular to above
  line is
    b x- by+ k=0

                Quantitative Aptitude & Business   47
                      Statistics: Equations
• 6.The equation of line passing
  through the points of intersection of
  the lines
 ax +by +c=0 and a1x +b1y +c=0 can
  be written as
  ax+by+c+K(a1x +b1y +c), where k is
  constant
             Quantitative Aptitude & Business   48
                   Statistics: Equations
• 7.The equation of line joining the
  points (X1,Y1) and (x2,Y2) is given
  and (x3,y3) on the line then the
  condition of collinear is
• x1(y2-y3)+x2(y3-y1)+x3(y1-y2)=0


             Quantitative Aptitude & Business   49
                   Statistics: Equations
Example
• Show that the points A(2,3)B(4,1)
  and C(-2,7) are collinear
• Solution
2(1-7)+4(7-3)-2(3-1)=-12+16-4=0
Which is true
So the given points are collinear

               Quantitative Aptitude & Business   50
                     Statistics: Equations
Example
• Find the equation of a line passing
  through the point (5,-4) and parallel
  to the line 4x+7y+5=0
Solution: The equation parallel to
  given equation is ax+ by +k=0
• The required equation is
  4x+7y+8=0
             Quantitative Aptitude & Business   51
                   Statistics: Equations
• 1)If ________, the roots are real but
  unequal
• A) b2 – 4ac = 0
• B) b2 – 4ac >0
• C) b2 – 4ac<0
• D) b2 – 4ac <0

                Quantitative Aptitude & Business   52
                      Statistics: Equations
• 1)If ________, the roots are real but
  unequal
• A) b2 – 4ac = 0
• B) b2 – 4ac >0
• C) b2 – 4ac<0
• D) b2 – 4ac <0

               Quantitative Aptitude & Business   53
                     Statistics: Equations
• 2.The equation of line passing through
  the points (1, -1) and (3, -2) is given by
  ________.
• A) 2x + y + 1 = 0
• B) 2x + y + 2 = 0
• C) x + y + 1 = 0
• D) x + 2 y + 1 = 0
                Quantitative Aptitude & Business   54
                      Statistics: Equations
• 2.The equation of line passing through
  the points (1, -1) and (3, -2) is given by
  ________.
• A) 2x + y + 1 = 0
• B) 2x + y + 2 = 0
• C) x + y + 1 = 0
• D) x + 2 y + 1 = 0
                Quantitative Aptitude & Business   55
                      Statistics: Equations
• 3.The equation –7x + 1 = 5 – 3x will be
  satisfied for x equal to
• A) 2
• B)-1
• C)1
• D) None of these

               Quantitative Aptitude & Business   56
                     Statistics: Equations
• 3.The equation –7x + 1 = 5 – 3x will be
  satisfied for x equal to
• A) 2
• B)-1
• C)1
• D) None of these

               Quantitative Aptitude & Business   57
                     Statistics: Equations
• 4. The sum of two numbers is 52 and
  their difference is 2. The numbers are
• A) 17 and 15
• B) 12 and 10
• C) 27 and 25
• D) None of these

               Quantitative Aptitude & Business   58
                     Statistics: Equations
• 4. The sum of two numbers is 52 and their
  difference is 2. The numbers are
• A) 17 and 15
• B) 12 and 10
• C) 27 and 25
• D) None of these

               Quantitative Aptitude & Business   59
                     Statistics: Equations
• 5.Under Algebraic Method we get ______
  linear equations
• A) One
• B) Two
• C) Three
• D) Five

             Quantitative Aptitude & Business   60
                   Statistics: Equations
• 5.Under Algebraic Method we get ______
  linear equations
• A) One
• B) Two
• C) Three
• D) Five

             Quantitative Aptitude & Business   61
                   Statistics: Equations
• 6. The equation of a line passing through
  (3, 4) and slope 2 is
• A) y – 2x + 2 = 0
• B) y – 3x + 4 = 0
• C) y – 4x + 3 = 0
• D) y – 2x + 4 = 0

               Quantitative Aptitude & Business   62
                     Statistics: Equations
• 6. The equation of a line passing through
  (3, 4) and slope 2 is
• A) y – 2x + 2 = 0
• B) y – 3x + 4 = 0
• C) y – 4x + 3 = 0
• D) y – 2x + 4 = 0

               Quantitative Aptitude & Business   63
                     Statistics: Equations
• 7. The slope of the equation x – y + 5 = 0
  is _________.
• A) 1
• B)-1
• C)5
• D)-5

               Quantitative Aptitude & Business   64
                     Statistics: Equations
• 7. The slope of the equation x – y + 5 = 0
  is _________.
• A) 1
• B)-1
• C)5
• D)-5

               Quantitative Aptitude & Business   65
                     Statistics: Equations
• 8. If one root of the equation x2+ 7x+ p =
  0 be reciprocal of the other then the value
  of p is________.
• A) 1
• B)-1
• C)7
• D)-7
               Quantitative Aptitude & Business   66
                     Statistics: Equations
• 8. If one root of the equation x2+ 7x+ p =
  0 be reciprocal of the other then the value
  of p is________.
• A) 1
• B)-1
• C)7
• D)-7
               Quantitative Aptitude & Business   67
                     Statistics: Equations
• 9. Find the distance between the pair of
  points p (–5, 2) and q (–3, –4)
• A) 2 .Sqrt of10
• B)10. Sqrt of2
• C)2
• D)10

               Quantitative Aptitude & Business   68
                     Statistics: Equations
• 9. Find the distance between the pair of
  points p (–5, 2) and q (–3, –4)
• A) 2 .Sqrt of10
• B)10. Sqrt of2
• C)2
• D)10

               Quantitative Aptitude & Business   69
                     Statistics: Equations
• 10. For what value of 'K' the equation 9x2
  – 24x + K = 0 has equal roots
• A) –16
• B)-15
• C)0
• D)16

               Quantitative Aptitude & Business   70
                     Statistics: Equations
• 10. For what value of 'K' the equation 9x2
  – 24x + K = 0 has equal roots
• A) –16
• B)-15
• C)0
• D)16

               Quantitative Aptitude & Business   71
                     Statistics: Equations
THE END

Equations

More Related Content

What's hot

Paper 4 Calculator Worksheet
Paper 4   Calculator WorksheetPaper 4   Calculator Worksheet
Paper 4 Calculator WorksheetLyny Gopole
 
Math-tanong CEER 2012 - Set 1 Solutions
Math-tanong CEER 2012 - Set 1 SolutionsMath-tanong CEER 2012 - Set 1 Solutions
Math-tanong CEER 2012 - Set 1 SolutionsGilbert Joseph Abueg
 
Math-tanong CEER 2012 - Set 1 solutions
Math-tanong CEER 2012 - Set 1 solutionsMath-tanong CEER 2012 - Set 1 solutions
Math-tanong CEER 2012 - Set 1 solutionsGilbert Joseph Abueg
 
Đề Thi HK2 Toán 8 - Trung Tâm Gia Sư Việt Trí
Đề Thi HK2 Toán 8 - Trung Tâm Gia Sư Việt TríĐề Thi HK2 Toán 8 - Trung Tâm Gia Sư Việt Trí
Đề Thi HK2 Toán 8 - Trung Tâm Gia Sư Việt TríTrung Tâm Gia Sư Việt Trí
 
Foundation c2 exam june 2013 resit sols
Foundation c2 exam june 2013 resit solsFoundation c2 exam june 2013 resit sols
Foundation c2 exam june 2013 resit solsfatima d
 
Help with math homework
Help with math homeworkHelp with math homework
Help with math homeworkAnel Bell
 
Other characteristics of each conic section
Other characteristics of each conic sectionOther characteristics of each conic section
Other characteristics of each conic sectionJobz Villamater
 
1.1 review on algebra 1
1.1 review on algebra 11.1 review on algebra 1
1.1 review on algebra 1math265
 
F4 c2 quadequations_new__1_
F4 c2 quadequations_new__1_F4 c2 quadequations_new__1_
F4 c2 quadequations_new__1_Shantipa
 
Jacob's and Vlad's D.E.V. Project - 2012
Jacob's and Vlad's D.E.V. Project - 2012Jacob's and Vlad's D.E.V. Project - 2012
Jacob's and Vlad's D.E.V. Project - 2012Jacob_Evenson
 

What's hot (19)

Paper 4 Calculator Worksheet
Paper 4   Calculator WorksheetPaper 4   Calculator Worksheet
Paper 4 Calculator Worksheet
 
Factorization
FactorizationFactorization
Factorization
 
Math-tanong CEER 2012 - Set 1 Solutions
Math-tanong CEER 2012 - Set 1 SolutionsMath-tanong CEER 2012 - Set 1 Solutions
Math-tanong CEER 2012 - Set 1 Solutions
 
Math-tanong CEER 2012 - Set 1 solutions
Math-tanong CEER 2012 - Set 1 solutionsMath-tanong CEER 2012 - Set 1 solutions
Math-tanong CEER 2012 - Set 1 solutions
 
Real for student
Real for studentReal for student
Real for student
 
Penilaian kurikulum satu 2018
Penilaian kurikulum satu 2018Penilaian kurikulum satu 2018
Penilaian kurikulum satu 2018
 
Ecuaciones de primer grado
Ecuaciones de primer gradoEcuaciones de primer grado
Ecuaciones de primer grado
 
Đề Thi HK2 Toán 8 - Trung Tâm Gia Sư Việt Trí
Đề Thi HK2 Toán 8 - Trung Tâm Gia Sư Việt TríĐề Thi HK2 Toán 8 - Trung Tâm Gia Sư Việt Trí
Đề Thi HK2 Toán 8 - Trung Tâm Gia Sư Việt Trí
 
Ch 01
Ch 01Ch 01
Ch 01
 
Foundation c2 exam june 2013 resit sols
Foundation c2 exam june 2013 resit solsFoundation c2 exam june 2013 resit sols
Foundation c2 exam june 2013 resit sols
 
Factoring Trinomials
Factoring TrinomialsFactoring Trinomials
Factoring Trinomials
 
Aieee Maths 2004
Aieee Maths  2004Aieee Maths  2004
Aieee Maths 2004
 
Matrices
MatricesMatrices
Matrices
 
Formula book
Formula bookFormula book
Formula book
 
Help with math homework
Help with math homeworkHelp with math homework
Help with math homework
 
Other characteristics of each conic section
Other characteristics of each conic sectionOther characteristics of each conic section
Other characteristics of each conic section
 
1.1 review on algebra 1
1.1 review on algebra 11.1 review on algebra 1
1.1 review on algebra 1
 
F4 c2 quadequations_new__1_
F4 c2 quadequations_new__1_F4 c2 quadequations_new__1_
F4 c2 quadequations_new__1_
 
Jacob's and Vlad's D.E.V. Project - 2012
Jacob's and Vlad's D.E.V. Project - 2012Jacob's and Vlad's D.E.V. Project - 2012
Jacob's and Vlad's D.E.V. Project - 2012
 

Viewers also liked

03 central tendency and disperson
03   central tendency and disperson03   central tendency and disperson
03 central tendency and dispersonErnie Cerado
 
5 3 the graphs of quadratic equations-x
5 3 the graphs of quadratic equations-x5 3 the graphs of quadratic equations-x
5 3 the graphs of quadratic equations-xmath123b
 
Mba 532 2011_part_3_time_series_analysis
Mba 532 2011_part_3_time_series_analysisMba 532 2011_part_3_time_series_analysis
Mba 532 2011_part_3_time_series_analysisChandra Kodituwakku
 
Chap19 time series-analysis_and_forecasting
Chap19 time series-analysis_and_forecastingChap19 time series-analysis_and_forecasting
Chap19 time series-analysis_and_forecastingVishal Kukreja
 
Presentation on Index Number
Presentation on Index NumberPresentation on Index Number
Presentation on Index NumberAsraf Hossain
 
Time Series Analysis: Theory and Practice
Time Series Analysis: Theory and PracticeTime Series Analysis: Theory and Practice
Time Series Analysis: Theory and PracticeTetiana Ivanova
 
Chapter 11 index number
Chapter 11  index numberChapter 11  index number
Chapter 11 index numberatiqah ayie
 
Analysis of cost, profit, and total revenue
Analysis of cost, profit, and total revenueAnalysis of cost, profit, and total revenue
Analysis of cost, profit, and total revenueiamnotangelica
 
STATA - Time Series Analysis
STATA - Time Series AnalysisSTATA - Time Series Analysis
STATA - Time Series Analysisstata_org_uk
 
Application of Mathematics in Business : F 107 - Group K
Application of Mathematics in Business : F 107 - Group KApplication of Mathematics in Business : F 107 - Group K
Application of Mathematics in Business : F 107 - Group Kjafar_sadik
 
SET THEORY
SET THEORYSET THEORY
SET THEORYLena
 
Inventory Control ABC Analysis
Inventory Control ABC AnalysisInventory Control ABC Analysis
Inventory Control ABC Analysisyashpal01
 
Statistics lecture 12 (chapter 12)
Statistics lecture 12 (chapter 12)Statistics lecture 12 (chapter 12)
Statistics lecture 12 (chapter 12)jillmitchell8778
 
inventory management ppt
inventory management pptinventory management ppt
inventory management pptMayank Baheti
 

Viewers also liked (20)

03 central tendency and disperson
03   central tendency and disperson03   central tendency and disperson
03 central tendency and disperson
 
5 3 the graphs of quadratic equations-x
5 3 the graphs of quadratic equations-x5 3 the graphs of quadratic equations-x
5 3 the graphs of quadratic equations-x
 
Mba 532 2011_part_3_time_series_analysis
Mba 532 2011_part_3_time_series_analysisMba 532 2011_part_3_time_series_analysis
Mba 532 2011_part_3_time_series_analysis
 
Chap19 time series-analysis_and_forecasting
Chap19 time series-analysis_and_forecastingChap19 time series-analysis_and_forecasting
Chap19 time series-analysis_and_forecasting
 
Index number
Index numberIndex number
Index number
 
Presentation on Index Number
Presentation on Index NumberPresentation on Index Number
Presentation on Index Number
 
Time Series Analysis: Theory and Practice
Time Series Analysis: Theory and PracticeTime Series Analysis: Theory and Practice
Time Series Analysis: Theory and Practice
 
Chapter 11 index number
Chapter 11  index numberChapter 11  index number
Chapter 11 index number
 
Set concepts
Set conceptsSet concepts
Set concepts
 
Analysis of cost, profit, and total revenue
Analysis of cost, profit, and total revenueAnalysis of cost, profit, and total revenue
Analysis of cost, profit, and total revenue
 
STATA - Time Series Analysis
STATA - Time Series AnalysisSTATA - Time Series Analysis
STATA - Time Series Analysis
 
Application of Mathematics in Business : F 107 - Group K
Application of Mathematics in Business : F 107 - Group KApplication of Mathematics in Business : F 107 - Group K
Application of Mathematics in Business : F 107 - Group K
 
Index Number
Index NumberIndex Number
Index Number
 
SET THEORY
SET THEORYSET THEORY
SET THEORY
 
Inventory Control ABC Analysis
Inventory Control ABC AnalysisInventory Control ABC Analysis
Inventory Control ABC Analysis
 
Statistics lecture 12 (chapter 12)
Statistics lecture 12 (chapter 12)Statistics lecture 12 (chapter 12)
Statistics lecture 12 (chapter 12)
 
Break even analysis
Break even analysisBreak even analysis
Break even analysis
 
Inventory Control
Inventory ControlInventory Control
Inventory Control
 
Break Even Analysis
Break Even AnalysisBreak Even Analysis
Break Even Analysis
 
inventory management ppt
inventory management pptinventory management ppt
inventory management ppt
 

Similar to 16801 equations

Math 7 lesson 11 properties of real numbers
Math 7   lesson 11 properties of real numbersMath 7   lesson 11 properties of real numbers
Math 7 lesson 11 properties of real numbersAriel Gilbuena
 
Higher Maths 2.1.2 - Quadratic Functions
Higher Maths 2.1.2 - Quadratic FunctionsHigher Maths 2.1.2 - Quadratic Functions
Higher Maths 2.1.2 - Quadratic Functionstimschmitz
 
Quadratic equations
Quadratic equationsQuadratic equations
Quadratic equationsA M
 
08.29.2017 Daily Lesson Properities of Ratioanl Numbers.pptx
08.29.2017 Daily Lesson Properities of Ratioanl Numbers.pptx08.29.2017 Daily Lesson Properities of Ratioanl Numbers.pptx
08.29.2017 Daily Lesson Properities of Ratioanl Numbers.pptxArianeSantiago7
 
Complex numbers
Complex numbersComplex numbers
Complex numbersmstf mstf
 
Haile Middle School: Properties
Haile Middle School: PropertiesHaile Middle School: Properties
Haile Middle School: PropertiesHannah5460
 
quadraticequations-111211090004-phpapp02.pptx
quadraticequations-111211090004-phpapp02.pptxquadraticequations-111211090004-phpapp02.pptx
quadraticequations-111211090004-phpapp02.pptxanithanatarajan15
 
sim-140907230908-phpapp01.pptx
sim-140907230908-phpapp01.pptxsim-140907230908-phpapp01.pptx
sim-140907230908-phpapp01.pptxJeffreyEnriquez10
 
CLASS VII -operations on rational numbers(1).pptx
CLASS VII -operations on rational numbers(1).pptxCLASS VII -operations on rational numbers(1).pptx
CLASS VII -operations on rational numbers(1).pptxRajkumarknms
 
Linear equations inequalities and applications
Linear equations inequalities and applicationsLinear equations inequalities and applications
Linear equations inequalities and applicationsvineeta yadav
 
Quadratic equations
Quadratic equationsQuadratic equations
Quadratic equationsMark Ryder
 

Similar to 16801 equations (20)

Math 7 lesson 11 properties of real numbers
Math 7   lesson 11 properties of real numbersMath 7   lesson 11 properties of real numbers
Math 7 lesson 11 properties of real numbers
 
Algebra and functions review
Algebra and functions reviewAlgebra and functions review
Algebra and functions review
 
Algebra and functions review
Algebra and functions reviewAlgebra and functions review
Algebra and functions review
 
Algebra and functions review
Algebra and functions reviewAlgebra and functions review
Algebra and functions review
 
16806 per com
16806 per com16806 per com
16806 per com
 
Higher Maths 2.1.2 - Quadratic Functions
Higher Maths 2.1.2 - Quadratic FunctionsHigher Maths 2.1.2 - Quadratic Functions
Higher Maths 2.1.2 - Quadratic Functions
 
Quadratic equations
Quadratic equationsQuadratic equations
Quadratic equations
 
08.29.2017 Daily Lesson Properities of Ratioanl Numbers.pptx
08.29.2017 Daily Lesson Properities of Ratioanl Numbers.pptx08.29.2017 Daily Lesson Properities of Ratioanl Numbers.pptx
08.29.2017 Daily Lesson Properities of Ratioanl Numbers.pptx
 
Complex numbers
Complex numbersComplex numbers
Complex numbers
 
Haile Middle School: Properties
Haile Middle School: PropertiesHaile Middle School: Properties
Haile Middle School: Properties
 
quadraticequations-111211090004-phpapp02.pptx
quadraticequations-111211090004-phpapp02.pptxquadraticequations-111211090004-phpapp02.pptx
quadraticequations-111211090004-phpapp02.pptx
 
Hprec2 2
Hprec2 2Hprec2 2
Hprec2 2
 
sim-140907230908-phpapp01.pptx
sim-140907230908-phpapp01.pptxsim-140907230908-phpapp01.pptx
sim-140907230908-phpapp01.pptx
 
Solving equations
Solving equationsSolving equations
Solving equations
 
CLASS VII -operations on rational numbers(1).pptx
CLASS VII -operations on rational numbers(1).pptxCLASS VII -operations on rational numbers(1).pptx
CLASS VII -operations on rational numbers(1).pptx
 
11.3
11.311.3
11.3
 
Quadratic Equation
Quadratic EquationQuadratic Equation
Quadratic Equation
 
L1 Quadratic Equations.pptx
L1 Quadratic Equations.pptxL1 Quadratic Equations.pptx
L1 Quadratic Equations.pptx
 
Linear equations inequalities and applications
Linear equations inequalities and applicationsLinear equations inequalities and applications
Linear equations inequalities and applications
 
Quadratic equations
Quadratic equationsQuadratic equations
Quadratic equations
 

Recently uploaded

Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxnull - The Open Security Community
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?XfilesPro
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraDeakin University
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 

Recently uploaded (20)

Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning era
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptxVulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 

16801 equations

  • 1. EQUATIONS Quantitative Aptitude & Business Statistics
  • 2. Introduction • Equation is defined to be mathematical statement of equality . If the equality is true for certain value of variable involved ,the equation is often called a conditional equation and equality sign used (=);while if the equality is true for all values of the variable involved ,the equation called identity. Quantitative Aptitude & Business Statistics: Equations 2
  • 3. Simple Equations • A simple equation is one unknown X is in the form aX+b=0 • Where and b are known constants . Quantitative Aptitude & Business 3 Statistics: Equations
  • 4. Example • Solve for X 4x 14 19 −1 = x+ 3 15 5 • By transposing the variables in one side the constants in other side ,we have 4 x 14 x 19 − = +1 3 15 5 Quantitative Aptitude & Business 4 Statistics: Equations
  • 5. Solution ( 20 − 14) x 19 + 5 = 15 5 6x 24 = 15 5 24 × 15 X = = 12 5× 6 Quantitative Aptitude & Business 5 Statistics: Equations
  • 6. Example • The denominator of a fraction exceeds the numerator by 5 and if 3 be added to both the fraction becomes ¾.Find the fraction Quantitative Aptitude & Business 6 Statistics: Equations
  • 7. Solution • Let X be the numerator and the Fraction be • X/X+5 • By the x+3 3 = x+5+3 4 Question or 4 x + 12 = 3 x + 24 X = 12 Quantitative Aptitude & Business 7 Statistics: Equations
  • 8. • The required Fraction 12 17 Quantitative Aptitude & Business 8 Statistics: Equations
  • 9. Example • If thrice A’s age 6 years ago be subtracted from twice his present age, the result would be equal to his present age .Find A’s present age . Quantitative Aptitude & Business 9 Statistics: Equations
  • 10. Solution • Let x’ be years be A’s present age By the Question 2x-3(x-6)=x Or 2x-3x+18=x x=9 A’s present age is 9 years. Quantitative Aptitude & Business 10 Statistics: Equations
  • 11. Example • A number consists of two digits the digits in ten place is twice the digit in the units place. If 18 is subtracted from the number the digits are reversed. Find the number Quantitative Aptitude & Business 11 Statistics: Equations
  • 12. Solution • Let x be the digit in units place .So the digits in ten’s place is 2x. • Thus the number becomes 10(2x)+x,By the question. • 20x+x-18=10x+2x • 21x-18=12x • X=2 Quantitative Aptitude & Business 12 Statistics: Equations
  • 13. • So the required number is 10(2*2)+2=42 Quantitative Aptitude & Business 13 Statistics: Equations
  • 14. Simultaneous Linear Equations in two unknowns • Methods of Solution • 1.Method of elimination • 2Cross Multiplication. Quantitative Aptitude & Business 14 Statistics: Equations
  • 15. Elimination Method • In this method two given linear equations are reduced to a linear equation in one unknown by eliminating one of the unknowns and solving for other unknowns. Quantitative Aptitude & Business 15 Statistics: Equations
  • 16. Example • Solve 2x+5y=9 and 3x-y=5 • x=2 • y=1 Quantitative Aptitude & Business 16 Statistics: Equations
  • 17. Cross Multiplication Method • a1x+b1y+c=0 • a2x+b2y+c=0 x y 1 b1 c1 a1 b1 b2 c2 a2 b2 Quantitative Aptitude & Business 17 Statistics: Equations
  • 18. X Y 1 = = (b1c2 − b2 c1 ) (c1 a2 − c2 a1 ) (a1b2 − a2 b1 ) b1c2 − b2 c1 c1a 2 − c2 a1 X= ;Y = a1b2 − a 2 b1 a1b2 −a 2 b
  • 19. Example • Solve 3X+2y+17=0 ;a1=3,b1=2.c1=17 5x-6y- 9 = 0 ; a2=5 b2=-6 c3=-9 X=-3,Y=-4 Quantitative Aptitude & Business 19 Statistics: Equations
  • 20. Quadratic Equation • An equation of the form ax2+bx+c=0 where X is variable and a,b and c are constants with a≠0 is called a pure quadratic equation . • The roots ; − b ± b − 4ac 2 X= 2a Quantitative Aptitude & Business 20 Statistics: Equations
  • 21. Sum and product of roots • Let the roots of equation be α and β b • Sum of roots ∞+β =− a • Products of roots ∞β = c a Quantitative Aptitude & Business 21 Statistics: Equations
  • 22. How to construct the Quadratic Equation • For the equation ax2+bx+c=0,we have known sum and product of roots • X2-(Sum of roots )+product of roots=0 Quantitative Aptitude & Business 22 Statistics: Equations
  • 23. Nature of the Roots − b ± b − 4ac 2 X= 2a • 1) If b2-4ac=0 the roots are real and equal ii) If b2-4ac>0 the roots are real and unequal iii) If b2-4ac<0 the roots are imaginary Quantitative Aptitude & Business 23 Statistics: Equations
  • 24. Note ;1- Irrational roots occur in pairs that m + n is a root then m − n is the other root of the equation Quantitative Aptitude & Business 24 Statistics: Equations
  • 25. Example • Solve • X2-5x+6=0 a=1,b=-5 and c= 6 − b ± b − 4ac 2 X= 2a • X=3 and 2 Quantitative Aptitude & Business 25 Statistics: Equations
  • 26. Example • If α and β be the roots of X2+7x+12=0 • Find the equation whose roots are •(α + β ) 2 and (α − β ) 2 Quantitative Aptitude & Business 26 Statistics: Equations
  • 27. Solution • Hints • Sum of roots = 50 • Product of roots =49(49-48)=49 • Hence the required equation is X2-x(Sum of roots ) +product of roots =0 X2-50x+49=0 Quantitative Aptitude & Business 27 Statistics: Equations
  • 28. Example • If α and β be the roots of • 2x2-4x-1=0 find the value of α2 β2 + β α Quantitative Aptitude & Business 28 Statistics: Equations
  • 29. • Sum of roots =-b /a=-(-4)/2=2 • Product of roots =c/a=-1/2 α β α + β (α + β ) − 3αβ 2 2 3 3 3 + = = = −22 α β αβ αβ Quantitative Aptitude & Business 29 Statistics: Equations
  • 30. Example • Solve x+2 4 − 3.2 x +2 =0 5 Quantitative Aptitude & Business 30 Statistics: Equations
  • 31. Solution x+2 4 − 3.2 x +2 =0 5 ( 2 ) − 3.2 2 + 32 = 0 2 x x 2 ( 2 ) − 3.2 2 + 32 = 0 x 2 x 2 y − 12 y + 32 = 0 2 Quantitative Aptitude & Business 31 Statistics: Equations
  • 32. Solution • (y-8)(y-4)=0 • y=8 or y=4 • 2x=8 or 2x=4 • X=3 or 2 Quantitative Aptitude & Business 32 Statistics: Equations
  • 33. Example • If one root of the equation is 2 − 3 form the equation • Solution • If one root is 2 − 3 then the other roots 2 + 3 • Sum of roots =4 • Product of roots =1 Quantitative Aptitude & Business 33 Statistics: Equations
  • 34. Solution • Required equation is • x2-x(Sum of roots ) +Product of roots=0 • x2-4x+1=0 Quantitative Aptitude & Business 34 Statistics: Equations
  • 35. Example • Divide 25 into two equal parts so that sum of their reciprocal is 1/6 1 1 1 + = x 25 − x 6 x − 25 x + 150 = 0 2 ( x − 15)( x − 10) = 0 Quantitative Aptitude & Business 35 Statistics: Equations
  • 36. • X=10,15 • So the parts of 25 are 10 and 15 Quantitative Aptitude & Business 36 Statistics: Equations
  • 37. Solution of Cubic Equation • Solve x3-7x+6=0 • Solution: • Putting X= 1 LHS is Zero So (x-1) is a factor ,the other factors are finding by dividing this factor by LHS we get the expression (x2+x-6)=0 • The roots (x2+x-6) are 2 and -3 • X=1,2 and -3Quantitative Aptitude & Business 37 Statistics: Equations
  • 38. Examine the nature of roots • 1.x2-8x+16=0 • Solution • a=1,b=-8 and c=16 • b2-4ac=0 • The roots are real and equal. Quantitative Aptitude & Business 38 Statistics: Equations
  • 39. 2. 3x2-8x+4=0 • Solution • a=3,b=-8 and c=4 • b2-4ac=16>0 • The roots are real and unequal Quantitative Aptitude & Business 39 Statistics: Equations
  • 40. 3.5x2-4x+2=0 • Solution • a=5,b=-4 and c=2 • b2-4ac=-24<0 • The roots are imaginary and unequal Quantitative Aptitude & Business 40 Statistics: Equations
  • 41. Example • The Value of 1 4+ 1 4+ 1 4+ 4 + ......... • Solution 2± 5 Quantitative Aptitude & Business 41 Statistics: Equations
  • 42. Application of Co-ordinate Geometry • Co-ordinate Geometry is that branch of mathematics which explains the problems of geometry with the help of algebra. • 1)The equation of the straight line in simple form • y= mx +c ,where m is slope and c is a constant Quantitative Aptitude & Business Statistics: Equations 42
  • 43. • If P(x1,y1) and Q(x2,y2) be the two points on the line then the distance between two points PQ • PQ= ( x 2 − x 1 )2 + ( y 2 − y 1 )2 Quantitative Aptitude & Business 43 Statistics: Equations
  • 44. • If P(x1,y1) and Q(x2,y2) be the two points on the line then the slope y 2 − y1 • Slope (m) = x 2 − x1 Quantitative Aptitude & Business 44 Statistics: Equations
  • 45. • A straight line makes that X intercept a’ and Y intercept is b • Then the equation form is x y + =1 a b Quantitative Aptitude & Business 45 Statistics: Equations
  • 46. • 1.Two lines are having slopes m1 and m2 are parallel to each other if and only if if m1 =m2 • 2. Two lines are having slopes m1 and m2 are perpendicular to each other if and only if if m1 .m2=-1 Quantitative Aptitude & Business 46 Statistics: Equations
  • 47. 4.)The equation ax+by+c=0 be a straight line ,the equation parallel to above line is ax+ by +k=0 5.The equation ax+by+c=0 be a straight line ,the equation perpendicular to above line is b x- by+ k=0 Quantitative Aptitude & Business 47 Statistics: Equations
  • 48. • 6.The equation of line passing through the points of intersection of the lines ax +by +c=0 and a1x +b1y +c=0 can be written as ax+by+c+K(a1x +b1y +c), where k is constant Quantitative Aptitude & Business 48 Statistics: Equations
  • 49. • 7.The equation of line joining the points (X1,Y1) and (x2,Y2) is given and (x3,y3) on the line then the condition of collinear is • x1(y2-y3)+x2(y3-y1)+x3(y1-y2)=0 Quantitative Aptitude & Business 49 Statistics: Equations
  • 50. Example • Show that the points A(2,3)B(4,1) and C(-2,7) are collinear • Solution 2(1-7)+4(7-3)-2(3-1)=-12+16-4=0 Which is true So the given points are collinear Quantitative Aptitude & Business 50 Statistics: Equations
  • 51. Example • Find the equation of a line passing through the point (5,-4) and parallel to the line 4x+7y+5=0 Solution: The equation parallel to given equation is ax+ by +k=0 • The required equation is 4x+7y+8=0 Quantitative Aptitude & Business 51 Statistics: Equations
  • 52. • 1)If ________, the roots are real but unequal • A) b2 – 4ac = 0 • B) b2 – 4ac >0 • C) b2 – 4ac<0 • D) b2 – 4ac <0 Quantitative Aptitude & Business 52 Statistics: Equations
  • 53. • 1)If ________, the roots are real but unequal • A) b2 – 4ac = 0 • B) b2 – 4ac >0 • C) b2 – 4ac<0 • D) b2 – 4ac <0 Quantitative Aptitude & Business 53 Statistics: Equations
  • 54. • 2.The equation of line passing through the points (1, -1) and (3, -2) is given by ________. • A) 2x + y + 1 = 0 • B) 2x + y + 2 = 0 • C) x + y + 1 = 0 • D) x + 2 y + 1 = 0 Quantitative Aptitude & Business 54 Statistics: Equations
  • 55. • 2.The equation of line passing through the points (1, -1) and (3, -2) is given by ________. • A) 2x + y + 1 = 0 • B) 2x + y + 2 = 0 • C) x + y + 1 = 0 • D) x + 2 y + 1 = 0 Quantitative Aptitude & Business 55 Statistics: Equations
  • 56. • 3.The equation –7x + 1 = 5 – 3x will be satisfied for x equal to • A) 2 • B)-1 • C)1 • D) None of these Quantitative Aptitude & Business 56 Statistics: Equations
  • 57. • 3.The equation –7x + 1 = 5 – 3x will be satisfied for x equal to • A) 2 • B)-1 • C)1 • D) None of these Quantitative Aptitude & Business 57 Statistics: Equations
  • 58. • 4. The sum of two numbers is 52 and their difference is 2. The numbers are • A) 17 and 15 • B) 12 and 10 • C) 27 and 25 • D) None of these Quantitative Aptitude & Business 58 Statistics: Equations
  • 59. • 4. The sum of two numbers is 52 and their difference is 2. The numbers are • A) 17 and 15 • B) 12 and 10 • C) 27 and 25 • D) None of these Quantitative Aptitude & Business 59 Statistics: Equations
  • 60. • 5.Under Algebraic Method we get ______ linear equations • A) One • B) Two • C) Three • D) Five Quantitative Aptitude & Business 60 Statistics: Equations
  • 61. • 5.Under Algebraic Method we get ______ linear equations • A) One • B) Two • C) Three • D) Five Quantitative Aptitude & Business 61 Statistics: Equations
  • 62. • 6. The equation of a line passing through (3, 4) and slope 2 is • A) y – 2x + 2 = 0 • B) y – 3x + 4 = 0 • C) y – 4x + 3 = 0 • D) y – 2x + 4 = 0 Quantitative Aptitude & Business 62 Statistics: Equations
  • 63. • 6. The equation of a line passing through (3, 4) and slope 2 is • A) y – 2x + 2 = 0 • B) y – 3x + 4 = 0 • C) y – 4x + 3 = 0 • D) y – 2x + 4 = 0 Quantitative Aptitude & Business 63 Statistics: Equations
  • 64. • 7. The slope of the equation x – y + 5 = 0 is _________. • A) 1 • B)-1 • C)5 • D)-5 Quantitative Aptitude & Business 64 Statistics: Equations
  • 65. • 7. The slope of the equation x – y + 5 = 0 is _________. • A) 1 • B)-1 • C)5 • D)-5 Quantitative Aptitude & Business 65 Statistics: Equations
  • 66. • 8. If one root of the equation x2+ 7x+ p = 0 be reciprocal of the other then the value of p is________. • A) 1 • B)-1 • C)7 • D)-7 Quantitative Aptitude & Business 66 Statistics: Equations
  • 67. • 8. If one root of the equation x2+ 7x+ p = 0 be reciprocal of the other then the value of p is________. • A) 1 • B)-1 • C)7 • D)-7 Quantitative Aptitude & Business 67 Statistics: Equations
  • 68. • 9. Find the distance between the pair of points p (–5, 2) and q (–3, –4) • A) 2 .Sqrt of10 • B)10. Sqrt of2 • C)2 • D)10 Quantitative Aptitude & Business 68 Statistics: Equations
  • 69. • 9. Find the distance between the pair of points p (–5, 2) and q (–3, –4) • A) 2 .Sqrt of10 • B)10. Sqrt of2 • C)2 • D)10 Quantitative Aptitude & Business 69 Statistics: Equations
  • 70. • 10. For what value of 'K' the equation 9x2 – 24x + K = 0 has equal roots • A) –16 • B)-15 • C)0 • D)16 Quantitative Aptitude & Business 70 Statistics: Equations
  • 71. • 10. For what value of 'K' the equation 9x2 – 24x + K = 0 has equal roots • A) –16 • B)-15 • C)0 • D)16 Quantitative Aptitude & Business 71 Statistics: Equations