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We provide guidance to students aspiring for different Competitive Exams. Our instructors possess several years of experience in teaching. Eduncle.com guide the Students as to how they can improve their performance. The Study Material we provide is well researched by our Experts, which covers exam Syllabus Comprehensively. The innovative approach by us makes the Student more confident at the time of Examination.
Course Structure
The Curriculum Section of this Course covers the following Content :
Attachments 1: Introduction
Attachments 2: Sequence
Attachments 3: CONVERGENT AND DIVERGENT SEQUENCES
Attachments 4: BOUNDED AND UNBOUNDED SEQUENCE
Attachments 5: MONOTONE SEQUENCE
Attachments 6: INFINITE SERIES
Attachments 7: UPPER AND LOWER LIMITS
Attachments 8: CONVERGENCE CRITERIA FOR SEQUENCES OF REAL NUMBERS
Attachments 9: SUBSEQUENCE
Attachments 10: CAUCHY SEQUENCE
Attachments 11: ABSOLUTE AND CONDITIONAL CONVERGENCE
Attachments 12: TESTS OF CONVERGENCE OF SERIES
Attachments 13: CONVERGENCE OF THE INFINITE INTEGRAL
Attachments 14: ALTERNATING SERIES
Attachments 1: Introduction
Attachments 2: LIMIT OF A FUNCTION OF ONE VARIABLE
Attachments 3: CONTINUOUS FUNCTIONS OF ONE VARIABLE
Attachments 4: DERIVABILITY OF A FUNCTION OF ONE VARIABLE
Attachments 5: INTERMEDIATE VALUE PROPERTY
Attachments 6: FUNCTIONS OF TWO VARIABLES
Attachments 7: LIMIT OF A FUNCTION OF TWO VARIABLES
Attachments 8: CONTINUITY OF A FUNCTION OF TWO VARIABLES
Attachments 9: PARTIAL DERIVATIVES
Attachments 10: DIFFERENTIABILITY OF TWO VARIABLES
Attachments 1: ROLLES THEOREM STATEMENT
Attachments 2: MEAN VALUE THEOREM
Attachments 3: TAYLORS THEOREM
Attachments 4: MAXIMA AND MINIMA OF ONE VARIABLE
Attachments 5: INDETERMINATE FORMS AND LHOSPITALS RULE
Attachments 6: MAXIMA AND MINIMA OF FUNCTIONS OF TWO VARIABLES
Attachments 7: METHOD OF LAGRANGE MULTIPLIER
Attachments 1: ANTIDERIVATIVES - DIFFERENTIATION IN REVERSE
Attachments 2: DEFINITE INTEGRALS AND THEIR PROPERTIES
Attachments 3: DIFFERENTIATION UNDER THE INTEGRAL SIGN
Attachments 4: FUNDAMENTAL THEOREM OF CALCULUS
Attachments 5: DOUBLE INTEGRAL
Attachments 6: CHANGE OF ORDER OF INTEGRATION
Attachments 7: TRIPLE INTEGRALS
Attachments 8: SURFACE AREA
Attachments 9: EVALUATION OF VOLUMES
Attachments 10: ARC LENGTH
Attachments 1: VECTOR SPACES
Attachments 2: LINEAR COMBINATION
Attachments 3: SPANNING SET
Attachments 4: SUBSPACES
Attachments 5: LINEAR DEPENDENCE AND INDEPENDENCE
Attachments 6: BASIS AND DIMENSION
Attachments 7: LINEAR TRANSFORMATION
Attachments 8: VECTOR SPACE ISOMORPHISM
Attachments 9: KERNEL AND IMAGE OF A LINEAR MAPPING
Attachments 10: RANK AND NULLITY OF A LINEAR MAPPING
Attachments 11: RANK-NULLITY THEOREM
Attachments 1: MATRICES
Attachments 2: RANK OF MATRIX
Attachments 3: INVERSE OF A MATRIX
Attachments 4: DETERMINANTS
Attachments 5: SYSTEM OF LINEAR EQUATIONS
Attachments 6: CONSISTENT AND IN-CONSISTENT NON-HOMOGENEOUS LINEAR EQUATIONS
Attachments 7: EIGEN VALUES AND EIGEN VECTORS
Attachments 1: INTRODUCTION
Attachments 2: CLASSICAL APPROACH TO PROBABILITY
Attachments 3: AXIOMATIC APPROACH TO PROBABILITY
Attachments 4: ADDITION THEOREMS ON PROBABILITY
Attachments 5: CONDITIONAL PROBABILITY
Attachments 6: MULTIPLICATION THEOREMS ON PROBABILITY
Attachments 7: INDEPENDENT EVENTS
Attachments 8: THE LAW OF TOTAL PROBABILITY
Attachments 9: BAYES RULE
Attachments 1: RANDOM VARIABLE
Attachments 2: DISTRIBUTION FUNCTION
Attachments 3: DISCRETE RANDOM VARIABLE
Attachments 4: CONTINUOUS RANDOM VARIABLE
Attachments 5: THE DISTRIBUTION OF A FUNCTION OF A RANDOM VARIABLE
Attachments 6: CUMULATIVE DISTRIBUTION FUNCTIONS
Attachments 1: MATHEMATICAL EXPECTATION
Attachments 2: COVARIANCE, VARIANCE OF SUMS, AND CORRELATIONS
Attachments 3: CONDITIONAL EXPECTATION
Attachments 4: THE VARIANCE AND STANDARD DEVIATION
Attachments 5: MOMENTS
Attachments 6: MOMENT GENERATING FUNCTIONS
Attachments 7: CHARACTERISTIC FUNCTIONS
Attachments 8: CHEBYSHEVS INEQUALITY
Attachments 1: THE BERNOULLI AND BINOMIAL RANDOM VARIABLES
Attachments 2: THE POISSON RANDOM VARIABLE
Attachments 3: THE NEGATIVE BINOMIAL RANDOM VARIABLE
Attachments 4: THE HYPERGEOMETRIC RANDOM VARIABLE
Attachments 5: THE ZETA (OR ZIPF) DISTRIBUTION
Attachments 6: EXPECTATION AND VARIANCE OF CONTINUOUS RANDOM VARIABLES
Attachments 7: THE UNIFORM RANDOM VARIABLE
Attachments 8: NORMAL RANDOM VARIABLES
Attachments 9: EXPONENTIAL RANDOM VARIABLES
Attachments 10: THE GAMMA DISTRIBUTION
Attachments 11: THE WEIBULL DISTRIBUTION
Attachments 12: THE CAUCHY DISTRIBUTION
Attachments 13: THE BETA DISTRIBUTION
Attachments 14: THE NORMAL APPROXIMATION TO THE BINOMIAL DISTRIBUTION
Attachments 15: THE DEMOIVRE-LAPLACE LIMIT THEOREM
Attachments 1: JOINT PROBABILITY LAW
Attachments 2: JOINT PROBABILITY MASS FUNCTION AND MARGINAL AND CONDITIONAL
Attachments 3: JOINT PROBABILITY DISTRIBUTION FUNCTION
Attachments 4: DISCRETE DISTRIBUTION FUNCTIONS
Attachments 5: MARGINAL DISTRIBUTION FUNCTION
Attachments 6: JOINT DENSITY FUNCTION, MARGINAL DENSITY FUNCTIONS
Attachments 7: CONDITIONAL DISTRIBUTIONS
Attachments 8: INDEPENDENT RANDOM VARIABLES
Attachments 9: REGRESSION
Attachments 10: PEARSON PRODUCT-MOMENT CORRELATION COEFFICIENT
Attachments 11: PEARSONS CORRELATION AND LEAST SQUARES REGRESSION ANALYSIS
Attachments 12: JOINT MOMENT GENERATING FUNCTION
Attachments 1: EXACT SAMPLING DISTRIBUTIONS (CHI-SQUARE DISTRIBUTION)
Attachments 2: M.G.G. of CHI-SQUARE DISTRIBUTION
Attachments 3: CUMULANT GENERATING FUNCTION OF CHI-SQUARE DISTRIBUTIONS
Attachments 4: LIMITING FORM OF X2 DISTRIBUTION FOR LARGE DEGREES OF FREEDOM
Attachments 5: CHI-SQUARE PROBABILITY CURVE
Attachments 6: CHI-SQUARE TEST OF GOODNESS OF FIT
Attachments 7: NON-CENTRAL CHI-SQUARE DISTRIBUTIONS
Attachments 8: STUDENTS t DISTRIBUTION
Attachments 9: MOMENT GENERATING FUNCTION OF t-DISTRIBUTION
Attachments 10: APPLICATIONS OF t-DISTRIBUTION
Attachments 11: NON-CENTRAL t-DISTRIBUTION
Attachments 12: F-STATISTIC
Attachments 13: MODE AND POINTS OF INFLECTION OF F-DISTRIBUTION
Attachments 14: APPLICATIONS OF F-DISTRIBUTION
Attachments 15: RELATION BETWEEN t AND F-DISTRIBUTIONS
Attachments 16: RELATION BETWEEN F AND CHI-SQUARE
Attachments 17: NON-CENTRAL F-DISTRIBUTION
Attachments 1: INTRODUCTION
Attachments 2: CHEBYSHEVS INEQUALITY AND THE WEAK LAW OF LARGE NUMBERS
Attachments 3: THE CENTRAL LIMIT THEOREM
Attachments 4: THE STRONG LAW OF LARGE NUMBERS
Attachments 1: INTRODUCTION
Attachments 2: CONSISTENCY
Attachments 3: UNBIASEDNESS
Attachments 4: EFFICIENT ESTIMATORS
Attachments 5: MINIMUM VARIANCE UNBIASED (M.V.U.) ESTIMATORS
Attachments 6: SUFFICIENCY
Attachments 7: COMPLETENESS
Attachments 8: FACTORIZATION THEOREM
Attachments 9: CRAMER-RAO INEQUALITY
Attachments 10: RAO-BLACKWELLISATON
Attachments 11: LEHMANN-SCHEFFE THEOREM
Attachments 12: METHOD OF MAXIMUM LIKELIHOOD ESTIMATION
Attachments 13: METHOD OF MOMENTS
Attachments 14: CONFIDENCE INTERVAL AND CONFIDENCE LIMITS
Attachments 15: CONFIDENCE INTERVALS FOR ONE PARAMETER EXPONENTIAL DISTRIBUTIONS
Attachments 1: INTRODUCTION
Attachments 2: BASIC CONCEPTS OF HYPOTHESIS TESTING
Attachments 3: TEST OF HYPOTHESIS ABOUT POPULATION MEAN MYU
Attachments 4: STEPS IN SOLVING TESTING OF HYPOTHESIS PROBLEM
Attachments 5: OPTIMUM TEST UNDER DIFFERENT SITUATIONS
Attachments 6: NEYMAN-PEARSON LEMMA FOR TESTING SIMPLE AND COMPOSITE HYPOTHESES
Attachments 7: LIKELIHOOD RATIO TESTS
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