Collecting Data Test Vocab - Unit 3 AP Stats

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10 Terms

1
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Cluster Sample

a sampling technique in which the population is divided into separate groups, known as clusters, and a simple random sample of these clusters is selected. Each cluster is then fully surveyed.

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Simple Random Sample

A sampling technique where each member of the population has an equal chance of being selected. Use random number generator

3
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Stratified random sampling

A sampling technique in which the population is divided into smaller groups, known as strata, that share similar characteristics. A random sample is then taken from each stratum to ensure representation of the entire population.

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Systemic Sampling

A sampling technique in which members of a population are selected at regular intervals from a randomly ordered list. For example, if you select every 5th individual from a list of names.

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Voluntary response Sampling

A sampling technique where individuals volunteer to participate in the survey or study. This method often leads to self-selected samples that may not represent the general population, as only those with strong opinions or interests are likely to respond.

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Convenience Sampling

A sampling technique that involves selecting individuals who are easiest to reach or sample from a given population. This method can lead to biased samples as it does not provide a representative cross-section of the population.

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Matched Pair Design

A study design in which participants are paired based on similar characteristics. Each pair is subjected to different treatments to compare outcomes.

8
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Blocked Design

A study design in which participants are divided into blocks based on specific characteristics or variables before being randomly assigned to treatments. This approach helps control for the effects of the blocking variable and increases the precision of the comparison between treatments.

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stratified design

A sampling design that involves dividing the population into distinct subgroups, or strata, that share similar characteristics. A random sample is then drawn from each stratum to ensure that the sample accurately reflects the diversity of the entire population.

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Blind

In experimental research, a design where participants do not know which treatment they are receiving to prevent bias in outcomes.