Unit 3 Vocab Flashcards

1
Q

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

A

Nonresponse bias

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2
Q

Every person or object of interest in a study

A

Population

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3
Q

Pick a sample and gather data about their past

A

Retrospective Study

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4
Q

The control treatment used in medical experiments.

A

Placebo

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5
Q

We must __________ aspects of the experiment that we believe will effect
response.

A

Control

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6
Q

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

A

Simple Random Sample

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7
Q

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

A

Systematic Sampling

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8
Q

When individuals from a subgroup of the population are not represented

A

Undercoverage

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9
Q

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

A

Double Blind

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10
Q

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

A

Cluster Sampling

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11
Q

A hopefully representative subset of the population

A

Representative Sampling

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12
Q

A combination of specific levels of the factors in an experiment. For example, a
new medication plus a high level of exercise.

A

Treatment

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13
Q

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.

A

Replication

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14
Q

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

A

Prospective Study

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15
Q

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

A

Parameter

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16
Q

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

A

Stratified Sampling

17
Q

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

A

Blocking Variable

18
Q

When you can’t determine which variable is effecting the difference in the outcomes of an experiment, then the variables are …..

A

Counfounded

19
Q

Anything in a survey design that influences the response

A

Response Bias

20
Q

When the sample is the entire population, we call this a _______________

21
Q

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

22
Q

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.

A

Randomized Blocking
Design

23
Q

The individual persons or objects in the population or sample

A

Participant, Units, Subjects

24
Q

The variables that are manipulated in an experiment are called the …

25
In an experiment, this evens out the effects of variables we cannot control or that we haven't even thought of.
Randomization
26
The participants assigned to a baseline treatment level (not necessarily no treatment) used for comparison purposes in an experiment are the
Control Group
27
The natural tendency of random samples to differ from each other
Sampling Variability
28
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
Conducting a survey when you have no control over who responds such as phone- in surveys
Voluntary Response Bias
30
Polls, questionnaires, interviews of a sample of the population are examples of this.
Survey
31
Generic term for the participants, subject, or objects in an experiment.
Experimental Unit
32
When an observed difference is too large to be attributed to chance, we say that the difference is __________.
Statistically Significant
33
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
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
When one variable influences another, we say that they have what kind of relationship?
Cause and Effect
36
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
A poor sampling method in which you choose subjects that are easy to find
Convenience Sampling
38
The list of individuals representing the population from which a sample is chosen
Sampling Frame
39
This type of variable is also called the factor in an experiment.
Explanatory Variable