Vocabulary of Data Collection

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AP Statistics - Unit 2

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39 Terms

1
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When a significant number of participants do not return their surveys. This could result in bias.

Nonresponse Variable

2
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Every person or object of interest in a study

Population

3
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Pick a sample and gather data about their past

Retrospective Study

4
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The control treatment used in medical experiments

Placebo

5
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We must ______ aspects of the experiment that we believe will effect response

Control

6
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A sample in which each group of n units has an equal chance of being selected

Simple Random Sample

7
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When you randomly pick a starting point on a list and select every 5th person thereafter

Systemic Sampling

8
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When individuals from a subgroup of the population are not represented

Undercoverage

9
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When both those influencing the results and evaluating the results of an experiment don't know which treatment was applied to the participants

Double Blind

10
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When entire groups, which are representative of the population are chosen randomly for a survey.

Cluster Sampling

11
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A hopefully representative subset of the population

Representative Sampling

12
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A combination of specific levels of the factors in an experiment. Ex: a new medication plus a high level of exercise.

Treatment

13
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In an experiment, you need many subjects in order to assess the variation in response and be confident our results are not just due to chance or other variables.

Replication

14
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Pick a sample and follow them into the future, observing and collecting data about the sample.

Prospective Study

15
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A data value (such as mean) attributed to the population or used as a value to model the population.

Parameter

16
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When the population is subdivided, and random samples are drawn from each group. The groups should each represent a group characteristic which may influence response.

Stratified Sampling

17
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A variable that is used to group participants in an experiment before assigning treatments.

Blocking Variable

18
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When you can't determine which variable is affecting the difference in the outcomes of an experiment, then the variables are ___.

Confounded

19
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Anything in a survey design that influences the response

Response Bias

20
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When the sample is every individual in the population, we call this a _.

Census

21
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A data value (such as mean) calculated from the sample.

Statistic

22
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In this experimental design, you first divide the participants into groups based on a variable or characteristic that you believe will affect the response. Then you randomly assign to subjects from each group to treatments.

Randomized Blocking Design

23
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The individual persons or objects in the population or sample.

Participant, Units, Subjects

24
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The variables that are manipulated in an experiment are called the ___.

Factors

25
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In an experiment, this evens out the effects of variables we cannot control or that we haven't even thought of.

Randomization

26
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The participants assigned to a baseline treatment level (not necessarily no treatment) used for comparison purposes in an experiment are the ___.

Control group

27
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The natural tendency of random samples to differ from each other

Sampling Variability

28
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When either those influencing the results or evaluating the results of an experiment don't know which treatment was applied to the participants.

Single Blind

29
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Conducting a survey when you have no control over who responds. Ex: phoning people in surveys.

Voluntary Response Bias

30
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Polls, questionnaires, and interviews of a sample of the population are examples of ____.

Survey

31
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Generic term for the participants, subject, or objects in an experiment.

Experimental Unit

32
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When an observed difference is too large to be attributed to chance, we say that the difference is __.

Statistically Significant

33
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Manipulate the environment and study the effects on individuals or objects. This is the only way to prove a cause-and-effect relationship between variables.

Experiment

34
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A sample in which the statistics gathered mirror the population. The best way to get this kind of sample is through a design that incorporates randomness.

Representative Sample

35
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When one variable influences another, we say that they have what kind of relationship?

Cause and Effect

36
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In this experimental design, all experimental units have an equal chance of receiving any treatment. We do not group them by any common variable.

Completely Randomized Design

37
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A poor sampling method in which you choose subjects that are easy to find.

Convenience Sampling

38
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The list of individuals representing the population from which a sample is chosen.

Sampling Frame

39
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This type of variable is also called the factor in an experiment.

Explanatory Variable

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