Estimation
Chapter notes, video classes, MCQ practice tests and quick-revision one-liners for Advanced Bank Management — CAIIB.
One-liners from this chapter
Free sample — 8 of 65 rapid-fire Q&A cards.
What is the difference between a parameter and a statistic in the context of estimation?
A parameter is a numerical measure that describes a characteristic of a population, while a statistic is a numerical measure computed from a sample and used to estimate the parameter.
What is a least squares estimator?
Estimator minimizing sum of squared deviations from observed values.
What is point estimation in statistics?
Point estimation is the process of using a single value, called a point estimate, computed from sample data to estimate an unknown population parameter.
What is the difference between an estimator and an estimate?
Estimator is a rule or formula; estimate is its numerical value.
What is interval estimation and how does it differ from point estimation?
Interval estimation provides a range of values (confidence interval) within which the population parameter is expected to lie, unlike point estimation which gives a single value and conveys no information about precision.
What is the sampling distribution of a statistic?
Probability distribution of a statistic computed from repeated samples.
What is a confidence interval?
A confidence interval is a range of values, derived from sample data, that is likely to contain the true population parameter with a specified level of confidence (e.g., 95% or 99%).
What is a 99% confidence interval compared to a 95% confidence interval?
99% interval is wider, providing higher certainty but less precision.
Video classes for this chapter
More chapters in Module A - Statistics
Master the full ABM syllabus
Every chapter of Advanced Bank Management — videos, tests, notes and one-liner decks in one place.