Chapter 5 Flashcards

1
Q

What is data?

A

a body or series of facts or information.

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2
Q

2 types of data?

A

Numerical (continuous/ discrete)
Categorical (nominal/ ordinal)

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3
Q

What is a population?

A

all individuals in a group that is being studied.

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4
Q

What is a sample?

A

a group of items or people selected from the population

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5
Q

What is a cross-sectional study?

A

a study that considers individuals from different groups at the same time

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6
Q

What is a longitudinal study?

A

study that considers individuals over a long period of time

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7
Q

What is a longitudinal study?

A

study that considers individuals over a long period of time

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8
Q

What is time series data?

A

data that has accumulated over a long period of time

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9
Q

What are the 7 types of samples?

A

simple random, systematic, stratified, cluster, multistage, convenience, voluntary

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10
Q

What is clustered?

A

divide the population into groups and sample each member of the group

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11
Q

What are the two types of experiments?

A

observational and experiemental

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12
Q

What are observational studies?

A

The situation is already occurring. Ex. people who exercise vs people who don’t.

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13
Q

What are experimental studies and the two subcategories?

A

researcher controls what is going on
treatment group and controlled group

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14
Q

What is microdata?

A

individual responses in a survey, see all information

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15
Q

What is aggregate data?

A

Data that are combined or summarized so that we don’t see all the information

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16
Q

What are the 4 types of biases?

A

response, sampling, measurement, non-response

17
Q

What is response bias?

A

when they are not truthful on the survey

18
Q

What is sampling bias?

A

when sampling doesn’t represent the population ex. asking kindergarteners about the best university.

19
Q

What is measurement bias?

A

Specific words or not enough choices lead to a biased answer. ex “Are you good at math, yes or no”

20
Q

What is non-reponse bias?

A

asking a large group and only a few respond and using those few to represent the whole population