Learning Module 7 of Quantitative Methods 6–9% of the exam
Estimation and Inference
3 lessons. About 0 minutes in cram mode, 0 minutes in full.
Lessons for this module are being written. The outcomes and lesson plan below are final.
Lessons
- 1 Sampling Methods
Coming soon
- 2 Central Limit Theorem and Inference
Coming soon
- 3 Bootstrapping and Empirical Sampling Distributions
Coming soon
What the exam expects you to do
- Compare and contrast simple random, stratified random, cluster, convenience, and judgmental sampling and their implications for sampling error in an investment problem.
- 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.