======Mathematical Statistics by Ms. Iqra Liaqat======
{{ :notes:mathematical-statistics-iqra-liaqat.jpg?nolink|Mathematical Statistics by Ms. Iqra Liaqat}}

These notes are send by Ms. Iqra Liaqat. We are really very thankful to her for providing these notes and appreciates her effort to publish these notes on MathCity.org


^ Name  |Mathematical Statistics  |
^ Provided by  |Ms. Iqra Liaqat |
^ Pages  |298s pages  |
^ Format  |PDF (see [[::software]] section for PDF Reader) | 
^ Size  |8 mB  |

====Contents & Summary====
In this section, the main heading are given below.

 <grid>
<col sm="6">
  * Probability
  * Mutually exclusive events
  * Exhaustive events
  * Equally likely events
  * Counting rules
  * Multiplication rule
  * Permutation rule
  * Combination rule
  * Vote
  * Classical definition of probability
  * Relative frequency
  * Subjective approach
  * Axioms of probability
  * General law of addition of probability
  * Playing cards
  * Condition al probability
  * Multiplication law
  * Total probability theorem
  * Baye's theorem
  * Random variable
  * Distribution function
  * Mean and variance of discrete random variable
  * Continuous random variable
  * Mean & variance of continuous random variable
  * Chebyshev's inequality
  * Joint Distribution
  * Discrete probability distributions 
  * Uniform distribution
  * Bernoulli trials
  * Binomial experiment
  * Properties of binomial experiment
  * Binomial distribution
  * Moments
  * Moments generating function
  * Cumulants
  * Cumulants generating function (c.g.f)
  * c.g.f of binomial distribution
  * Hypergeometric distribution
  * Properties of hypergeometric distribution
  * Poisson distribution
  * Properties of Poisson distribution
  * Recurrence rule for Poisson  probabilities
  * Moment generating function
  * Comulant generating function
  </col>
<col sm="6"> 
  * Central moment of Poisson distribution
  * Negative binomial distribution
  * Geometric distribution
  * Continuous distributions
  * Uniform distribution
  * Exponential distribution
  * Gauss distribution
  * Beta function
  * Beta distribution (1st kind)
  * Beta distribution (2nd kind)
  * Normal distribution (Gaussian distribution)
  * Point of inflexion (inflection)
  * Area under the normal curve
  * Inverse normal distribution
  * Normal approximation to binomial distribution
  * Correction for continuity
  * Normal approximation
  * Normal approximation to Poisson distribution
  * Properties of mathematical expectation
  * Correlation
  * Moments of uni-variate variable
  * Moments of bi-variate variable
  * Standardized covariance
  * Regression
  * Linear regression
  * Method of least squares
  * Regression lines
  * Rank correlation
  * Pearson product correlation formulas
  * Derivation of rank correlation coefficient
  * Rank correlation for tied ranks
  * Coefficient of determination
  * Standard error of estimates
  * Multiple regression
  * Deviation formulas
  * Standard error of estimates
  * Matrix representation
  * Coefficient of multiple correlation and determination
  * Multiple correlation an partial correlation
  * Sampling and sampling distribution
  * Standard error
  * Sampling distribution
  * Chi-square distribution
  * Degree of freedom
  * Properties of Chi-square distribution
    </col>
</grid>
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====Notes by other authors====
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