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Probability Statistics Notes JNTU | PS Notes JNTU

Probability Statistics Notes JNTU – PS Notes JNTU of Total Chapters

Please find the download links of Probability Statistics Notes JNTU | PS Notes JNTU are listed below:

Link: Complete Notes

Chapter – 1

PROBABILITY THEORY :Experiments and random events,Certain event,Impossible event,Contrary events,Compatible events,Incompatible events,Event implied by another event,Operations with events,Sample space of an experiment,Frequency,Equally possible events,Probability of an event,Finite sample space,Elementary event,Axiomatic definition of probability,Independent and dependent events,Conditional probability, One-dimensional discrete random variables .The distribution function of a discrete one-dimensional random variable. Two-dimensional discrete random variables(random vectors). The distribution function of a random vector,Expected value,Variance,Moments,Covariance. Correlation coefficient,Convergence of sequences of random variables,Law of large numbers,Binomial distribution.The Poisson distribution as an approximation of the binomial distribution.The multinomial distribution.Geometric distribution. Negative binomial distribution,Continuous random variables.The distribution function for the continuous random variables,The expected values and the variance of a continuous random variable,The normal distribution.

Link:Chapter 1 Notes

Chapter – 2

STATISTICS:What is Statistics?Basics,Data collection,Determining the frequency and grouping the data,Data presentation,Parameters and statistics of the central tendency,Parameters and statistics of dispersion,Factorial parameters and statistics of the variance,Parameters and statistics of position,The sampling distribution of the sample statistics ,The central limit theorem ,An application of the central limit theorem ,Point estimation for a parameter,Generalities regarding the problem of hypothesis testing,Hypothesis test: A classical approach
Hypothesis test: a probability-value approach,Statistical inference about the population mean when the standard deviation is not known,Inferences about the variance and the estimation of the variance,Generalities about correlation. Linear correlation.Linear correlation analysis,Inferences about the linear correlation coefficient,Linear regression,Linear regression analysis,Inferences concerning the slope of the regression line.

Link:Chapter 2 Notes

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