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This means that as the sample size increases, the distribution of the sum or average becomes more tightly clustered around the mean of the distribution, and the shape of the distribution becomes more bell-shaped. Speaking mathematically [Image credits: All of statistics by Larry Wasserman book ] Where are we currently using CLT?
Statistics Understand descriptive statistics (mean, median, mode) and inferential statistics (hypothesistesting, confidence intervals). From structured online courses to insightful books and tutorials and engaging YouTube channels and podcasts, a wealth of content guides you on your journey.
Here are some important blogs for you related to statistics: Process and Types of HypothesisTesting in Statistics. Bimodal distributions are useful when the data has two peaks or clusters, reflecting two dominant groups within a single dataset. You should definitely check out the best statistics books for data science.
These are a few online tutorials, instructions, and books available that can help you with comprehending these basic concepts. After that, move towards unsupervised learning methods like clustering and dimensionality reduction. It includes regression, classification, clustering, decision trees, and more.
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