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Aryabhatta Knowledge University, Bihar, Computer Engineering Semester 2, Mathematics –II (Probability and Statistics) Syllabus
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Unit - 1 Basic Probability
Module 1
Basic Probability
1.1 Probability Spaces
1.2 Conditional Probability
1.3 Independence Discrete Random Variables
1.4 Random Variable
1.5 The Multinomial Distribution
1.6 Poisson Approximation to the Binomial Distribution
1.7 Bernoulli trials
1.8 Expectation of Discrete Random Variables Moments
1.9 Variance Of A Sum Correlation Coefficient Chebyshevs Inequality
Unit - 2 Continuous Probability Distributions
Module 2
Continuous Probability Distributions
2.1 Continuous Random Variables
Unit - 3 Bivariate Distributions
Module 3
Bivariate Distributions
3.1 Bivariate Distributions
3.2 Distribution of Sums and Quotients
3.3 Conditional Densities
3.4 Bayes Rule
Unit - 4 Basic Statistics
Unit 4
Basic Statistics
4.1Measures of Central Tendency
4.2 MOMENTS
4.3 Probability Distributions Binomial Poisson and Normal
4.4 Evaluation of Statistical Parameters for These Three Distributions
4.5 CORRELATION
4.6 Spearman’s Rank Correlation
Unit - 5 Applied Statistics
Unit – 5
Applied Statistics
5.1 Curve Fitting by the Method of Least Squares Fitting Of Straight Lines
5.2 Second Degree Parabolas and More General Curves
5.3 Test of Significance Large Sample Test for Single Proportion
5.4 Difference of Proportions
5.5 Single Mean
5.6 Difference of Means and Difference of Standard Deviations
Unit - 6 Small Samples
Unit – 6
Small Samples
6.1 Test for Single Mean
6.2 Difference of Means and Correlation Coefficients
6.3 Test for Ratio of Variances ChiSquare Test For Goodness of Fit And Independence of Attributes
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Other Subjects of Semester-2
Basic electrical engineering
Engineering graphics & design
Physics (semiconductor physics)
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