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Central limit theorem and bootstrapping (for the CFA Level 1 exam) explores the ideas behind the central limit theorem and computation of the standard error of the sample mean. It also discusses two resampling methods: bootstrapping and jacknife. This video explores topics covered in Lessons 3 and 4, Learning Module 7 of the Quantitative Methods section of the 2026 CFA Level 1 Curriculum. LOS: - explain the central limit theorem and its importance for the distribution and standard error of the sample mean - describe the use of resampling (bootstrap, jackknife) to estimate the sampling distribution of a statistic For a comprehensive directory of all videos featured on this channel, please visit the channel companion website: www.letmeexplain.eu Let me Explain is a CFA Institute Prep Provider. Only CFA Institute Prep Providers are permitted to make use of CFA Institute copyrighted materials which are the building blocks of the exam. We are also required to create / use updated materials every year and this is validated by CFA Institute. Our products and services substantially cover the relevant curriculum and exam and this is validated by CFA Institute. In our advertising, any statement about the numbers of questions in our products and services relates to unique, original, proprietary questions. CFA Institute Prep Providers are forbidden from including CFA Institute official mock exam questions or any questions other than the end of reading questions within their products and services. CFA Institute does not endorse, promote, review or warrant the accuracy or quality of the product and services offered by Let me Explain. CFA Institute®, CFA® and “Chartered Financial Analyst®” are trademarks owned by CFA Institute.
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