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Subject Syllabus

CB-102 - Introductory Topics in Statistics, Probability and Calculus

CSBS · Semester 1

Course Modules

Learn topic-wise with Hyper AI and revise using mapped PYQs.

Definition of StatisticsBasic objectivesApplications in various branches of science with examplesCollection of Data: Internal and external data, Primary and secondary DataPopulation and sample, Representative sample
Classification and tabulation of univariate dataGraphical representation, Frequency curvesDescriptive measures - central tendency and dispersionBivariate dataSummarization, marginal and conditional frequency distribution
Concept of experiments, sample space, eventDefinition of Combinatorial ProbabilityConditional ProbabilityBayes Theorem
Discrete and continuous distributionsBinomial, Poisson and Geometric distributionsUniform, Exponential, Normal, Chi-square, t, F distributionsExpected values and moments: mathematical expectation and its propertiesMoments (including variance) and their properties, interpretationMoment generating function
Basic concepts of Differential and integral calculusApplication of double and triple integral