Chapter 6 Flashcards

1
Q

population

A

A group that includes all the cases (individuals, objects, or groups) in which the researcher is interested.

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2
Q

sample

A

A subset of cases selected from a population.

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3
Q

sampling

A

The process of identifying and selecting a subset of the population for study.

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4
Q

parameter

A

A measure (e.g., mean, standard deviation) used to describe the population distribution.

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5
Q

statistic

A

A measure (e.g., mean, standard deviation) used to describe the sample distribution.

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6
Q

probability

A

A quantitative measure that a particular event will occur.

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7
Q

probability sampling

A

A method of sampling that enables the researcher to specify for each case in the population the probability of its inclusion in the sample.

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8
Q

simple random sample

A

A sample design in such a way as to ensure that (a) every member of the population has an equal chance of being chosen and (b) every combination of N members has an equal chance of being chosen.

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9
Q

systematic random sampling

A

A method of sampling in which every Kth member (K is a ratio obtained by dividing the population size by the desired sample size) in the total population is chosen for inclusion in the sample is selected at random from among the first K members in the population.

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10
Q

stratified random sample

A

A method of sampling obtained by (a) dividing the population into subgroups based on one or more variables central to our analysis and (b) then drawing a simple random sample from each of the subgroups.

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11
Q

proportionate stratified sample

A

The size fo the sample selected from each subgroup is proportional to the size of that subgroup in the entire population.

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12
Q

disproportionate stratified sample

A

The size of the sample selected from each subgroup is disproportional to the size of the subgroup in the population.

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13
Q

sampling error

A

The discrepancy between a sample estimate of a population parameter and the real population parameter.

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14
Q

sampling distribution

A

The sampling distribution is a theoretical probability distribution of all possible sample values fo rate statistics in which we are interested.

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15
Q

sampling distribution of the mean

A

A theoretical probability distribution of sample means that would be obtained by drawing from the population all possible samples of the same size.

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16
Q

standard error of the mean

A

The standard deviation of the sampling distribution of the mean. It describes how much dispersion there is in the sampling distribution of the mean.

17
Q

central limit theorem

A

pg. 168