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Central Limit Theorem and Hypothesis Testing

Another post starts with you beautiful people! Today we will learn about an important topic related to statistics. Statistical inference is the process of deducing properties of an underlying distribution by analysis of data. Inferential statistical analysis infers properties about a population: this includes testing hypotheses and deriving estimates. Statistics are helpful in analyzing most collections of data. Hypothesis testing can justify conclusions even when no scientific theory exists. You can find more about this here-  tell me more about Statistical_hypothesis_testing Here our case study will be Average Experience of Data Science Specialization(DSS) batch taught in a leading University with Statistical Inference. We will aim to study how accurately can we characterize the actual average participant experience (population mean) from the samples of data (sample mean). We can quantify the certainty of outcome through the confidence intervals. Let's plot the d...