Makes use of a regular sampling interval (k) between individuals selected for inclusion in the sample

the set of all locations within the study area boundary line that delimits the spatial sampling frame, from which the sample is actually drawn

99%

90%

As we increase the number of observations that we used to draw our sample, the sampling distribution of x changes its shape - approaches that of a normal distribution

The set of all individuals contained in the sampling frame, from which the sample is actually drawn.

If the standard deviation is unknown. Sample is smaller than 30

with a smaller than proportional sample size

Probability that the interval surrounding a sample mean includes the true pop mean (1-m)

probability that the interval surrounding a sample mean fails to encompass the true population mean

Hint

the practical or operational structure that contains the entire set of elements from which the sample will actually be drawn.

Combination of random, systematic, cluster or stratified sampling procedures

Divides data into exclusive groups

95%

The complete set of individuals from which info is to be collected

the entire region or set of locations from which info is to be collected

with a larger than proportional sample size

Each value has equal probability

Population or target area is separated into different subgroups (or subareas) called strata and then selecting a simple random sample from each

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