Get access to 100s of MCQs, Question banks, notes and videos as per your syllabus.

Try Now for free

Try Now for free

Unit - 1 Basic Probability

1.1 Probability spaces1.2 conditional probability

1.3 independence Discrete random variables

1.4 Independent random variables

1.5 The multinomial distribution

1.6 Poisson approximation to the binomial distribution

1.7 infinite sequences of Bernoulli trials

1.8 sums of independent random variables

1.9 Expectation of Discrete Random Variables

1.10 Moments variance of a sum

1.11 Correlation coefficient

1.12 Chebyshevs Inequality

1.1 Probability spaces

1.2 conditional probability

1.3 independence Discrete random variables

1.4 Independent random variables

1.5 The multinomial distribution

1.6 Poisson approximation to the binomial distribution

1.7 infinite sequences of Bernoulli trials

1.8 sums of independent random variables

1.9 Expectation of Discrete Random Variables

1.10 Moments variance of a sum

1.11 Correlation coefficient

1.12 Chebyshevs Inequality

Unit - 2 Continuous Probability Distributions

2.1 Continuous random variables and their properties2.2 distribution functions and densities normal exponential and gamma densities

2.1 Continuous random variables and their properties

2.2 distribution functions and densities normal exponential and gamma densities

Unit - 3 Bivariate Distributions

3.1 Bivariate distributions and their properties3.2 distribution of sums and quotients

3.3 conditional densities

3.4 Bayes rule

3.1 Bivariate distributions and their properties

3.2 distribution of sums and quotients

3.3 conditional densities

3.4 Bayes rule

Unit - 4 Basic Statistics

4.1 Measures of Central tendency Moments skewness and Kurtosis4.2 Probability distributions Binomial Poisson and Normal evaluation of statistical parameters for these three distributions

4.3 Correlation and regression Rank correlation

4.1 Measures of Central tendency Moments skewness and Kurtosis

4.2 Probability distributions Binomial Poisson and Normal evaluation of statistical parameters for these three distributions

4.3 Correlation and regression Rank correlation

Unit - 5 Applied Statistics

5.1 Curve fitting by the method of least squares fitting of straight lines5.2 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 difference of means and difference of standard deviations

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 difference of means and difference of standard deviations

Unit - 6 Small Samples

6.1 Test for single mean difference of means and correlation coefficients6.2 Test for ratio of variances Chisquare test for goodness of fit and independence of attributes

6.1 Test for single mean difference of means and correlation coefficients

6.2 Test for ratio of variances Chisquare test for goodness of fit and independence of attributes

Download EE Sem 4 syllabus pdf

Get access to 100s of MCQs, Question banks, notes and videos as per your syllabus.

Try Now for free

Try Now for free

Other Subjects of Semester-2

Share

Link Copied

More than 1 Million students use Goseeko! Join them to feel the power of smart learning.

Spot anything incorrect? Contact us