Estimation and Inference Flashcards

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1
Q

What is a “parameter”?

A

A descriptive measure computed from or used to describe a population of data, conventionally expressed by greek letters.

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2
Q

What is “probability sampling”?

A

A sampling plan that allows every member of the population to have an equal chance of being selected.

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3
Q

What is “non-probability sampling”?

A

A sampling plan dependent on factors other than probability considerations, such as a sampler’s judgement or the convenience to access data.

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4
Q

What is “Simple Random Sampling”?

A

The procedure of drawing a sample to satisfy the definition of simple random sample.

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5
Q

What is “Stratified Random Sampling”?

A

A procedure that first divides a population into subpopulations (strata) based on classification criteria and then randomly draws samples from each stratum in sizes proportional to that of each stratum in the population.

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6
Q

What is a “sampling plan”?

A

The set of rules (i.e., the plan) used to select a sample.

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7
Q

What is a “Simple Random Sample”?

A

A subset of a larger population created in such a way that each element of the population has an equal probability of being selected to the subset.

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8
Q

What is “Simple Random Sampling”?

A

The procedure of drawing a sample to satisfy the definition of a simple random sample.

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9
Q

What is “Systematic Sampling”?

A

A procedure of selecting every Kth member until reaching a sample of the desired size.

The sample that results from this procedure should be approximately random.

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10
Q

What is “Sampling Error”?

A

The difference between the observed value of a statistic and the estimate resulting from using subsets of the population.

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11
Q

What is the “Sampling Distribution”?

A

The distribution of all distinct possible values that a statistic can assume when computed from samples of the same size randomly drawn from the same population.

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12
Q

What is “Indexing”?

A

An investment strategy in which an investor constructs a portfolio to mirror the performance of a specified index.

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13
Q

What is “Cluster Sampling”?

A

A procedure that divides a population into subpopulations representative of the population and then randomly draws certain clusters to form a sample.

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14
Q

What is “Convenience Sampling”?

A

A procedure of selecting an element from a population on the basis of whether or not it is accessible to a researcher or how easy it is for a researcher to access the element.

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15
Q

What is “Judgmental Sampling”?

A

A procedure of selectively handpicking elements from the population based on a researcher’s knowledge and professional judgement.

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16
Q

What is the “Central Limit Theorem”?

A

The theorem that states the sum (and the mean) of a set of independent, identically-distributed random variables with finite variances is normally distributed

17
Q

What is “resampling”?

A

A statistical method that repeatedly draws samples from the original observed data sample for statistical inference of population parameters.

18
Q

What is a “Jackknife”?

A

A resampling method that repeatedly draws samples by taking the original observed data sample and leaving out one observation at a time (without replacement) from the set.