final Flashcards

(19 cards)

1
Q

What is a data set?

A

The data collected for a particular study is called a data set

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2
Q

What is an element?

A

The individual people, objects, events or other entities that are studied

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3
Q

What is a variable?

A

Any characteristic of an element

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4
Q

What is cross sectional data?

A

different data points collected at the same point in time

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5
Q

What is time series data?

A

the same data point is observed over multiple consecutive time periods

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6
Q

Difference between qualitative and quantitative?

A

Qualitative: categorical
EXAMPLE: hair color, skin color, job
Quantitative: numerical
EXAMPLE: salary, temperature, height, weight, GPA

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7
Q

What is nominal?

A

qualitative with no meaningful order
hair color, degree of study, profession, jersey number, telephone number

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8
Q

what is ordinal?

A

qualitative with an order
EXAMPLE: level of satisfaction, level of education, age group

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9
Q

what is interval?

A

quantitative with no absolute zero and not proportional

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10
Q

what is ratio?

A

quantitative with an absolute zero and proportional
EXAMPLE: salary, height, weight

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11
Q

what is primary data?

A

data that is collected directly through an experiment or observation?

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12
Q

what is secondary data?

A

is data collected from existing sources (previous experiments by someone else)

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13
Q

what is big data?

A

refers to massive amounts of data that is collected very fast in real time

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13
Q

what is transactional data?

A

refers to the information recorded from transactions such as sales or purchases, detailing what was exchanged, between whom and when

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14
Q

what is data warehousing?

A

the process of centralized data management and retrieval

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15
Q

what is population?

A

the set of all the elements we are studying

16
Q

what is sample?

A

a subset of the population that we study to make inferences about the population

17
Q

what is descriptive statistics?

A

the science of describing the important aspects of a data set

18
Q

what is statistical inference?

A

the science of using a sample to make generalizations about a population