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The chapter covers essential concepts in statistics, including measures of central tendency, various probability distributions, correlation and regression methods, tests of significance, and chi-square tests. It emphasizes the application of statistical methods to analyze data and make inferences. Key statistical tools and formulas are provided throughout to support understanding and application.
References
Module III_ Statistics.pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: Mean
Definition: The average value of a dataset, calculated as the sum of all values divided by the number of values.
Term: Median
Definition: The middle value in a dataset when the values are arranged in order.
Term: Mode
Definition: The value that appears most frequently in a dataset.
Term: Skewness
Definition: A measure of the asymmetry of the probability distribution of a real-valued random variable.
Term: Kurtosis
Definition: A statistical measure that describes the shape of a distribution's tails in relation to its overall shape.
Term: Binomial Distribution
Definition: A distribution that describes the number of successes in a fixed number of independent Bernoulli trials.
Term: Correlated Coefficient
Definition: A measure that describes the strength and direction of a linear relationship between two variables.
Term: ChiSquare Test
Definition: A statistical test to determine if there is a significant association between categorical variables.