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Course / Course Details

upper sixth pure Mathematics with statistics

  • High School Mathematics image

    By - High School Mathematics

  • 0 students
  • 166 Hours 40 Min
  • (0)

Course Curriculum

  • 16 chapters
  • 268 lectures
  • 134 quizzes
  • 166 Hours 40 Min total length
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1 Introduction to circle theorems.m4v
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3 Introduction to circle theorems.m4v [Quiz]
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4 Introduction to Circles and Parts of Circles.m4v
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6 Introduction to Circles and Parts of Circles.m4v [Quiz]
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7 The Circumference of a Circle
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9 The Circumference of a Circle_1 edited.m4v [Quiz]
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10 Equations of the circle - Given centre and radius
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11 Given coordinates of the ends of a diameter
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13 Passing through three given points.
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14 Intersection of a straight line with a circle
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16 Equation of a tangent to a circle
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17 Length of a tangent from external point to a circle
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19 Intersecting circles
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21 Condition for two circles to touch
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22 Orthogonal circles
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24 Radical axis of two circles.
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25 The equation of a circle through the points of intersection of two given circles and a given point
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1 Introduction to the Complex Number System
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3 The imaginary number i and its algebra
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5 Complex Numbers
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7 Complex conjugate
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9 The Argand Diagram
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11 Geometrical representation of a complex numbers
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13 Addition and subtraction of complex numbers
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15 Product and Quotient of Complex Numbers
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17 Multiplication and Division in Polar form
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19 simple equations and expansions
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21 Modulus-Argument (Polar) form of a complex Number
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23 Modulus and Argument of a Complex Number.
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25 Complex roots of a polynomial equation
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27 Square root of complex Numbers:
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29 Equality of Complex Numbers
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31 Geometrical representation of sums, products and quotients of complex numbers
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33 The nth roots of unity -Cube roots of a complex number
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1 Subtraction of Vectors.m4v
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3 Subtraction of Vectors [Quiz]
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4 Multiplication of a vector by a matrix
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6 Multiplication of a vector by a matrix [Quiz]
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7 The unit vector in the direction of a given vector.m4v
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9 The unit vector in the direction of a given vector.m4v [Quiz]
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10 Equations of planes
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11 Different forms of the equation of a plane
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13 Lines and planes
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14 Intersection of a line and a plane
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16 Angle between two planes
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17 Intersection of two planes
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19 Perpendicular distance of a point from a plane
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1 Definite integral
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3 Simple applications of integration to calculate:  area of plane  volumes of solids of revolution,  centroidsand centres of mass
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5 Approximations to definite integrals using the trapezium rule
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1 Solution of simple first order differential equations (involving polynomial, trigonometric, exponential and logarithmic functions) with variables that can be separated
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1 Determination of an interval
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3 Graphical method of solving equations
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5 The Newton - Raphson process
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7 Any other iterative process, including the interval bisection or midpoint method and the method of Linear interpolation or Chord method.
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1 Types of data.
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3 Tabular and graphical representation of data
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5 Measure of central tendency
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7 Measure of dispersion
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9 Combined mean and combined variance for two or more samples
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11 Weighted means (e.g. index numbers)
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1 Scatter diagram
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3 Regression function *Linear correlation and regression lines
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5 Least square regression lines
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7 covariance
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9 Regression coefficient
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11 calculating the equation of the least square regression lines
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13 The product –moment correlation coefficient, r
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15 Relationship between regression coefficient and r
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17 Minimum sum of squares of residuals
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19 Spearman’s coefficient of Rank correlation and its significance and limitations
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21 Kendall’s Rank correlation coefficient, its use and limitations
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1 Probability terminology
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3 Empirical or experimental method of obtaining probabilities (tossing coins and dice, drawing cards...).
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5 Possibility space and probability space for such experiments
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7 Classical definition of probability
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9 Probability of an event
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11 Probability laws - Limit law (probability scale)
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13 Complementary events
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15 The occurrence of only one of two events
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17 Mutually exclusive events
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19 Exhaustive events
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21 Conditional probability
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23 Independent events and their applications
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25 Probability Trees
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27 Use of permutations and combinations to calculate probability Bayes’ theorem
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1 Elementary notions of discrete probability distributions.
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3 The probability mass function (p.m.f) or probability density function (p.d.f) and the probability distribution.
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5 The expectation of a random variable E(X)
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7 The expectation of any function of X, E[g(x)]
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9 The properties of the expectation.
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11 The variance Var(X) of X and its properties
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13 The cumulative distribution function of a discrete random variable
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15 The mode and median of a discrete random variable
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17 Moment generating functions
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1 The binomial distribution -mean and variance
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3 cumulative binomial probability tables
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5 The recurrence formula and calculation of the mode
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7 The uniform distribution and derivation of its expectation and variance
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9 The geometric distribution
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11 mean and variance
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13 The Poisson distribution
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15 mean and variance
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17 Unit interval
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19 use of the poisson distribution as an approximation of the binomial distribution
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21 cumulative Poisson probability table
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23 Distribution of two independent Poisson variables
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25 Relationship between probability distributions and frequency distributions
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1 The Probability density function of a continuous random variable
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3 Expectation, variance and mode of a continuous discrete random variable
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5 The cumulative distribution function
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7 The median and the other quartiles
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1 The exponential distribution including its mean an variance
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3 The uniform or rectangular distribution
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5 mean and variance.
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7 The normal distribution
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9 probability density function
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11 Expectation and variance
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13 The standard normal variable and the use of the standard normal table to find probabilities for normally distributed variable
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15 The use of the normal distribution as:  an approximation of the binomial with application of continuity correction  an approximation of the Poisson distribution with the application of cont
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1 Sampling with or without replacement from a finite population
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3 Sampling distribution of statistics
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5 Random sampling and random number tables
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7 Sampling of attributes
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9 Sampling from an infinite population
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11 The sample mean
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13 The distribution of the sample mean
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15 The central limit theorem
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17 Sampling methods
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19 Estimation of population parameters
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21 Point estimation-unbiased estimator
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23 Most efficient estimator for the population parameters( mean and variance)
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25 Pooled estimation of population mean and population variance
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27 Interval estimation (confidence intervals)
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29 Confidence interval for the population mean, population variance known
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31 Confidence interval for the population mean, population variance unknown
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33 Confidence interval for the difference between two populations.
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1 The role of the null and alternative hypotheses in significance testing
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3 Significance testing of a hypothetical value for probability and for the mean of Poisson distribution
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5 Significance testing for a population mean and the difference between two means using large scale(using central limit theorem)
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High School Mathematics

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