Quiz 3 Flashcards

1
Q

Parameter

A

A value (average, percentage, etc.) calculated using all the data from a population.

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2
Q

Census

A

A survey of an entire population

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3
Q

Sample

A

A smaller subset of the entire population, ideally one that is fairly representative of the whole population.

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4
Q

Statistic

A

A value (average, percentage, etc.) calculated using the data from a sample.

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5
Q

Categorical vs. quantitative data

A

Categorical: able to be classified in to various categories.

Quantitate: numerical in nature, that can produce meaningful arithmetic calculations.

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6
Q

Sampling BIAS

A

Bias if every member of the population doesn’t have an equal likelihood of being in the sample.

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7
Q

Simple Random Sample

A

Random sample: each member of the population has an equal probability of being chosen.

Simple Random Sample: every member of the population AND any group of members as equal probability of being chosen.

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8
Q

Sampling variability

A

Natural and unavoidable variation of samples that takes place in random sampling.

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9
Q

Stratified sampling

A

A population is divided into a number of subgroups. Random samples are then taken from each subgroup with sample sizes proportional to the size of the subgroup in the population.

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10
Q

Quota sampling

A

Variation of stratified sampling, samples are collected in each subgroup until the desired quota is met.

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11
Q

Cluster sampling

A

Population divided into clusters, a cluster is selected to be the sample.

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12
Q

Systematic sampling

A

Every (nth) member of the population is selected to be in the sample.

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13
Q

Convenience sampling

A

Samples chosen by selected whoever is convenient.

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14
Q

Voluntary response sampling

A

Allowing the sample to volunteer

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15
Q

Voluntary response BIAS

A

When the sample is not representative of the population

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16
Q

Self-Interest BIAS

A

Bias that often occurs when the researchers have an interest in the outcome of the study.

17
Q

Response BIAS

A

Bias occurs when the responder gives and inaccurate response for any reason

18
Q

Perceived lack of anonymity BIAS

A

Bias occurs when the responder fears that giving an honest answer might negatively affect them

19
Q

Loaded question BIAS

A

Bias occurs when the question wording influences the responses

20
Q

Non-response BIAS

A

Bias occurs when people refusing to participate in a study can influence the validity of the outcome

21
Q

Observational studies

A

Study based on observations OR measurements

22
Q

Experiment

A

Study in which the effects of a TREATMENT are measured.

23
Q

Confounding

A

Occurs when there are two potential variables that could have caused the outcome and it is not possible to determine what actually caused the result.

24
Q

Control group

A

Control group does not receive the treatment in a study with a treatment group and control group.

25
Q

Placebo effect

A

When the effectiveness of a treatment is influenced by the patient’s perception of how effective they think the treatment will be, so a result might be seen even if the treatment is ineffectual.

26
Q

Double-blind study

A

Study in which those interacting with the participants don’t know who is the treatment group and who is the control group.

27
Q

Population

A

The group the collected data for a study is intended to describe.