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Statistical Analysis > Sampling and Sampling Distribution > Flashcards

Sampling and Sampling Distribution Flashcards

1
Q

Characteristics of interest measurable or observable on each individual comprising the universe.

A

Variable

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2
Q

Set of all possible values of the variable.

A

Population

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3
Q

It is the selection of a part of the universe of interest to represent the whole by obtaining estimates of the parameters that can be validly generalized to the universe.

A

Sampling

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4
Q

It is the descriptive measure of the population.

A

Parameter

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5
Q

It is the selected part (a subset of the universe or population)

A

Sample

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6
Q

It is the descriptive measure of the sample.

A

Statistic

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7
Q

It is a list of elements of the population.

A

Sampling Frame

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8
Q

What are some of the different data sources that consist of the Sampling Frame?

A
  1. Population lists
  2. Students’ lists
  3. Credit cardholders’ lists
  4. Teachers’ lists
  5. Directories
  6. Maps.
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9
Q

It is a method in which elements of the population get an equal opportunity to be selected as a representative sample.

A

Probability Sampling

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10
Q

The selection process is random sampling.

A

Probability Sampling

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11
Q

Results are unbiased due to its conclusive nature.

A

Probability Sampling

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12
Q

The basis of inference is statistical.

A

Probability Sampling

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13
Q

A method of selecting n units out of the N units in the population so that every individual or item in the sampling frame has the same chance of selection as other individuals or items.

A

Simple Random Sampling

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14
Q

A sample is selected by taking at random n elements in the population, one from each of the N groups containing k elements.

A

Systematic Sampling

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15
Q

A sample is selected by taking independent random samples from each of the population’s mutually exclusive subpopulations or stratum.

A

Stratified Sampling

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16
Q

A sample is selected by taking all or a subset of randomly chosen subpopulations or clusters.

A

Cluster Sampling

17
Q

It is usually a natural or preexisting designation such as cities, municipalities, villages, or schools.

A

Cluster

18
Q

It can be viewed as an extension of cluster sampling.

A

Multi-Stage Sampling

19
Q

It is a method in which the population elements are not pre-specified and have an unequal opportunity to be a sample.

A

Non-probability Sampling

20
Q

The selection process involved is arbitrary.

A

Non-probability Sampling

21
Q

Results are biased due to its exploratory nature.

A

Non-probability Sampling

22
Q

The basis of inference is analytical.

A

Non-probability Sampling

23
Q

It is a non-probability sampling technique where samples are selected from the population only because they are conveniently available to the researcher.

A

Convenience Sampling

24
Q

Individuals are chosen to be part of the sample with a specific purpose in mind.

A

Judgmental or Purposive Sampling

25
Q

It begins by identifying a small number of individuals who meet the inclusion criteria in a study. The researcher then asks them to recommend others they know who also meet the selected criteria.

A

Snowball Sampling

26
Q

It involves a non-random selection of individuals based on some pre-determined quota.

A

Quota Sampling

27
Q

It represents the major characteristics of the population based on the proportionality of each category.

A

Proportional quota sampling

28
Q

It does not require specific numbers that correspond to the population’s proportion.

A

Non-proportional quota sampling

29
Q

It states that “as the sample size becomes bigger, the sampling distribution of the sample mean
can be approximated by a normal probability distribution”.

A

Central Limit Theorem

30
Q

It is a probability distribution based on many samples of size 𝑛 from a given population.

A

Sampling Distribution of a Statistic

31
Q

A statistic that is arrived out through repeated sampling from a larger population.

A

Sampling Distribution

32
Q

It describes a range of possible outcomes of a statistic, such as the mean or mode of some variables, as it truly exists in a population.

A

Sampling Distribution

Statistical Analysis (10 decks)

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