Statistics Lecture 1 Flashcards

1
Q

Statistics

A

The science of assembling, classifying, tabulating, and analyzing data of a numerical nature to present significant information about a given subject.

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2
Q

Main branches of statistics

A
  • Descriptive statistics
  • Inferential statistics
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3
Q

Descriptive statistics

A

a way of summarizing data from a population or a sample.

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4
Q

Inferential statistics

A

Comparison of data, extrapolation…

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5
Q

Data

A

A collection of information. A set of values of qualitative or quantitative variables.

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6
Q

Types of data

A
  • Qualitative
  • Quantative
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7
Q

Quantitative data

A

Numeric date

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8
Q

Qualitative data

A

Non-numeric date

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9
Q

Observation

A

Entity whose characteristics we measure

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10
Q

Measurement

A

Assigning numbers to observations according to pre-set rules

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11
Q

Variable

A

A measurement characteristic that can have various values or levels

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12
Q

Types of variables

A
  • Qualitative(categorical) = Non numerical
  • Quantitative = Numerical
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13
Q

Types of quantitative variables

A
  • Discrete
  • Continuos
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14
Q

Types of qualitative variables

A
  • Binary
  • Nominal
  • Ordinal
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15
Q

Continuos:

A
  • Quantitative
  • Not restricted to taking specified values
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16
Q

Discrete:

A
  • Quantitative
  • Can have only certain values (usually whole numbers)
17
Q

Binary:

A

Only 2 possible values (usually : 1/0 or Yes/No

18
Q

Nominal:

A
  • Qualitative
  • Categorical with no order
19
Q

Ordinal:

A
  • Qualitative
  • Non numerical but with a specific order
20
Q

Population

A

is an entire group of observations that have at least one common characteristic

  • Monkey Population St. Kitts
  • Female monkey population in St. Kitts
  • Monkeys in a research facility
21
Q

Sample

A

is a group of elements selected from a population

22
Q

A characteristic of a population

A

Parameter

23
Q

Characteristic of a sample

A

Statistic

24
Q

Absolute frequency

A

Number of observations

25
Q

Relative frequency

A

Proportion of observations