Couverture de SA-EP1-T-Test in Statistics [ ENGLISH ]

SA-EP1-T-Test in Statistics [ ENGLISH ]

SA-EP1-T-Test in Statistics [ ENGLISH ]

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 The provided source, an excerpt from "The T-Test: Unlocking Data Insights" by Dr. Chinmoy Pal, offers a comprehensive overview of the **T-Test** in statistics. It explains that a **T-Test** is a statistical method used to determine if there is a significant difference between the means of two groups, particularly useful with small sample sizes or when the population standard deviation is unknown. The text details the **types of T-Tests** (Independent Samples, Paired Samples, and One-Sample), their **diverse applications** across fields like medical research and business analytics, and the crucial steps for **practical implementation**, including formulating hypotheses, checking assumptions, calculating the T-statistic, and interpreting results. A **real-world example** illustrates how a T-Test can be applied to test a new drug's effectiveness, reinforcing its relevance as a tool for making data-driven decisions.
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