CFA Level 1 Reading 5: Sampling and Estimation - Complete CRASH COURSE 2023 - Wall Street Notes
14.3 هزار بار بازدید -
2 سال پیش
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Wall Street Notes - CFA®
Wall Street Notes - CFA® Level 1 Crash course: https://wallstreetnotes.com
Full course library: https://wallstreetnotes.com/p/level-1...
Topics covered in this video:
Quantitative Methods CFA® Level 1 2023
Reading 5: Sampling and Estimation
Learning Outcome Statements covered in this reading:
compare and contrast probability samples with non-probability samples and discuss applications of each to an investment problem
explain sampling error
compare and contrast simple random, stratified random, cluster, convenience, and judgmental sampling
explain the central limit theorem and its importance
calculate and interpret the standard error of the sample mean
identify and describe desirable properties of an estimator
contrast a point estimate and a confidence interval estimate of a population parameter
calculate and interpret a confidence interval for a population mean, given a normal distribution with 1) a known population variance, 2) an unknown population variance, or 3) an unknown population variance and a large sample size
describe the use of resampling (bootstrap, jackknife) to estimate the sampling distribution of a statistic
describe the issues regarding selection of the appropriate sample size, data snooping bias, sample selection bias, survivorship bias, look ahead bias, and time period bias.
CFA Level 1 Reading 5: Sampling and Estimation - Complete CRASH COURSE 2022 - Wall Street Notes
Full course library: https://wallstreetnotes.com/p/level-1...
Topics covered in this video:
Quantitative Methods CFA® Level 1 2023
Reading 5: Sampling and Estimation
Learning Outcome Statements covered in this reading:
compare and contrast probability samples with non-probability samples and discuss applications of each to an investment problem
explain sampling error
compare and contrast simple random, stratified random, cluster, convenience, and judgmental sampling
explain the central limit theorem and its importance
calculate and interpret the standard error of the sample mean
identify and describe desirable properties of an estimator
contrast a point estimate and a confidence interval estimate of a population parameter
calculate and interpret a confidence interval for a population mean, given a normal distribution with 1) a known population variance, 2) an unknown population variance, or 3) an unknown population variance and a large sample size
describe the use of resampling (bootstrap, jackknife) to estimate the sampling distribution of a statistic
describe the issues regarding selection of the appropriate sample size, data snooping bias, sample selection bias, survivorship bias, look ahead bias, and time period bias.
CFA Level 1 Reading 5: Sampling and Estimation - Complete CRASH COURSE 2022 - Wall Street Notes
2 سال پیش
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