Continuous Probability distributions (normal, gamma, beta)
Continuous Probability Distributions: Continuous Uniform Distribution, Normal Distribution, Areas under the Normal Curve, Applications of the Normal Distribution, Normal Approximation to the Binomial, Gamma and Exponential Distributions, Chi Squared Distribution, Beta Distribution and also practice on r-language
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Course Material
- Introduction to Statistics and Sampling Procedure
- Measure of location and dispersion
- Basic probability, sample space, Additive law, conditional probability
- Concept of RAndom variable and It,s probability distribution, discrete and continuous probability distribution
- Mathematical Expectation of Random variable,
- Discrete Probability Distribution (Binomial, negative Binomial, Poisson)
- Continuous Probability distributions (normal, gamma, beta)
- Fundamental Sampling Distribution
- (Week 9-10) intro to statistical inference, point estimation and interval estimation for single and two sample (Practical on R language)
- (Week 11-12) Concept of testing of hypothesis, one sample test
- (Week 13-14) Two sample test concerning with mean and variance ( r-language)
- (Week 15-16) Linear regression and Correlation ( r-language)
- Chapters 12
- Department CS & IT
- Teacher
Muhammad Wasim Amir
