Welcome to the Statistics repository! Here, you'll find files that cover various statistical topics. The repository is organized into different categories to help you navigate through the content:
- These files explain probability distributions where outcomes are discrete, like the Binomial, Poisson, and Bernoulli distributions.
- These files cover probability distributions where outcomes can take any value within a range, such as the Normal and Exponential distributions.
- random.choice(), random.sample()
- Understand how to calculate and interpret confidence intervals, which help estimate population parameters.
- Normality (Shapiro-Wilk Test): These files discuss a test called Shapiro-Wilk to check if data follows a normal distribution.
- Variance (Levene's Test): These files cover Levene's test, which is used to compare variances between groups.
- Explore the concept of hypothesis testing, including types of errors and significance levels.
- Learn about tests like the t-test and z-test, used to compare sample means or proportions.
- Discover the chi-square test, which is used to analyze categorical data and test for independence between variables.
- Understand how ANOVA is used to compare means across multiple groups and assess differences in variance.
Feel free to explore each category to deepen your understanding of these statistical concepts and techniques.
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