Statistics
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.
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Sections
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What we have learnt
- Mean, median, and mode are critical for understanding data distribution.
- Different distributions such as Binomial, Poisson, and Normal have distinct characteristics and formulas.
- Correlation and regression techniques enable the analysis of relationships between variables.
Key Concepts
- -- Mean
- The average value of a dataset, calculated as the sum of all values divided by the number of values.
- -- Median
- The middle value in a dataset when the values are arranged in order.
- -- Mode
- The value that appears most frequently in a dataset.
- -- Skewness
- A measure of the asymmetry of the probability distribution of a real-valued random variable.
- -- Kurtosis
- A statistical measure that describes the shape of a distribution's tails in relation to its overall shape.
- -- Binomial Distribution
- A distribution that describes the number of successes in a fixed number of independent Bernoulli trials.
- -- Correlated Coefficient
- A measure that describes the strength and direction of a linear relationship between two variables.
- -- ChiSquare Test
- A statistical test to determine if there is a significant association between categorical variables.
Additional Learning Materials
Supplementary resources to enhance your learning experience.