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This guide explores the concepts of confidence intervals and the t-distribution, essential tools in statistics for estimating population parameters. Confidence intervals provide a range of values within which a population parameter is likely to lie, while the t-distribution is crucial for hypothesis testing and estimation with small sample sizes. We will delve into how to calculate confidence intervals, when to use the t-distribution, and their applications in real-world statistical analysis. Perfect for students and professionals alike.
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1. Confidence intervals and the t-distribution