15_Inference for Quantitative Variables (Part 1 of 2)

Statistics Made Simple

In this episode, titled "Inference for Quantitative Variables," we embark on the first segment of a two-part series dedicated to demystifying statistical analysis. Our discussion dives into hypothesis testing and confidence intervals through a practical examination of the General Social Survey (GSS) data. We focus on comparing educational achievements between racial demographics, particularly examining the highest degrees attained by white and black populations.

Listeners will learn about applying statistical tools like frequencies, cross-tabulation, and hypothesis testing to real-world data sets. The episode elucidates the use of quantitative versus categorical variables in statistical evaluations, detailing concepts such as sample proportions, test statistics, and the significance of standard error in result interpretation.

Join us along with expert statisticians and students in engaging and informative sessions. We simplify complex statistical terms and methodologies, making them accessible to all listeners. Whether you're gearing up for a project or keen on understanding data analysis, this episode is packed with insights into the statistical techniques that inform research and policy decisions. Join us for part one of our comprehensive exploration of quantitative inference.

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Textbook: ⁠⁠Statistics: Unlocking the Power of Data⁠⁠

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Lecture slides and additional course material can be obtained by emailing [e-mail]

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