Lecture 1 Flashcards

1
Q

descriptive statistics = ?

A

used to summarise the characteristics of a sample or dataset

e.g., mean, standard deviation, range

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2
Q

inferential statistics = ?

A

employs techniques to relate variables in a dataset

e.g.. correlation, regression

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3
Q

what can inferential statistics be used for?

A

to estimate forecasts or infer causality

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4
Q

what does descriptive statistics focus on?

A

directly focuses on summarising and presenting data

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5
Q

how is descriptive statistics portrayed?

A

tables, charts etc. to portray the data

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6
Q

what is descriptive statistics used for?

A

summarising a dataset

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7
Q

what two parts are descriptive data usually divided into?

A

measures of central tendency (mean, median, mode)

measures of variability (standard deviation, variance, range)

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8
Q

what does inferential data deal with?

A

the selection and use of sample data to produce information

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9
Q

population = ?

A

the set of all the elements of interest in a particular study

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10
Q

parameter = ?

A

a summary measure for a population

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11
Q

sample = ?

A

a subset of the population

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12
Q

statistic = ?

A

a summary measure for a sample

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13
Q

what is probability?

A

the study of likelihood or chance

the connection between descriptive & inferential statistics

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14
Q

what are statistics good for?

A
  • describing a complex world
  • forecasting trends
  • capturing relationships
  • informing decision making & policy
  • evaluating decisions & policies
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