Statistics Flashcards

1
Q

Biased sample

A

A sample is biased if it does not represent the population

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2
Q

Census

A

Observes every member of a population

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3
Q

Continuous data

A

Data that can take any value in a specific range

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4
Q

Critical value

A

Point or points on a scale of a test statistic beyond which we reject the null hypothesis

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5
Q

Discrete data

A

Data that can only take specific values

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6
Q

Hypothesis test

A

A statistical test that is used to determine if there is enough evidence in a sample of data to infer that a certain condition is true for the entire population

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7
Q

Opportune sample

A

Take a sample from people, who are available at the time the study is carried out, who fit the criteria you are looking for

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8
Q

Parameter

A

A numerical measure that describes the entire population

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9
Q

Population

A

The whole set of items that are of interest

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10
Q

P value

A

Probability of getting the test statistic or a more extreme value (for two tailed tests this probability needs to be doubled). The p value is then compared to the significance level

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11
Q

Qualitative Data

A

Non numerical observations

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12
Q

Quantitative Data

A

Numerical observations

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13
Q

Quota sample

A

An interviewer or researcher selects a sample that reflects the characteristics of the whole population.

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14
Q

Sample

A

A subset of the population

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15
Q

Sampling frame

A

A list of the population from which a sample has to be taken

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16
Q

Simple Random Sampling

A

Every sample of size n has an equal chance of being selected

17
Q

Statistic

A

A numerical measure from a sample

18
Q

Stratified Random Sampling

A

The population is divided into mutually exclusive strata and a random sample is taken from each Stratton proportion to the size of the strata

19
Q

Systematic Random Sampling

A

The required elements are chosen at regular intervals from an ordered list

20
Q

Test statistic

A

A numerical measure taken from a sample in order to test a hypothesis about a population