 Statistik I at Universität Konstanz | Flashcards & Summaries

# Lernmaterialien für Statistik I an der Universität Konstanz

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Inferential statistics

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methods using probability theory to infer from a sample of data to the population of interest

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Statistical Units

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"Entities"

Statistical units or entities are objects or individuals whose

characteristics are of interest

Examples: frims, households, employees,students

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Population

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The collection of all relevant units is called the population and is described by factual, geographic or time criteria.

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forms of populations

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• ﬁnite populations: students enrolled in "Economics" at UKon
• hypothetical population: potential customers in marketing firm
• infinite population: number of rolls in rolling dice experiment
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Census

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If data on all units of the population is available (rarely feasible) it's called a census.

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Sample

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"Probe"

A subset may be obtained by drawing a sample from the population. I.e. collecting data from a fraction of the population. Samples should ideally reflect the entire population.

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Sample drawing techniques

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• a simple random sample: each member of the population has the

same probability to end up in the sample

• a stratiﬁed random sample: the population is divided into

homogeneous subgroups and simple random samples are drawn from

each group

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qualitative variables

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These take on values that are just labels and divide data into different categories.

Oftentimes categories are coded with numerical values (married = 1, divorced = 2 etc)

Examples: martial status, eye color, study program

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quantitative variables

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These are measured on a numerical scale. They are further divided into discrete and continuous variables.

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discrete variables

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countable number of distinct values

Example: number of employees, "how happy are you from 1-10?"

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continuous variables

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• Inifinite numbers in a given interval.
• may be grouped into classes (discrete)

Example: profit of manufacturing firm

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Descriptive and explorative statistics

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• graphical and numerical methods to describe and summarize data

• methods to detect certain patterns and relations between variables

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• 1151 Studierende
• 70 Lernmaterialien

## Beispielhafte Karteikarten für deinen Statistik I Kurs an der Universität Konstanz - von Kommilitonen auf StudySmarter erstellt!

Q:

Inferential statistics

A:

methods using probability theory to infer from a sample of data to the population of interest

Q:

Statistical Units

A:

"Entities"

Statistical units or entities are objects or individuals whose

characteristics are of interest

Examples: frims, households, employees,students

Q:

Population

A:

The collection of all relevant units is called the population and is described by factual, geographic or time criteria.

Q:

forms of populations

A:
• ﬁnite populations: students enrolled in "Economics" at UKon
• hypothetical population: potential customers in marketing firm
• infinite population: number of rolls in rolling dice experiment
Q:

Census

A:

If data on all units of the population is available (rarely feasible) it's called a census.

Q:

Sample

A:

"Probe"

A subset may be obtained by drawing a sample from the population. I.e. collecting data from a fraction of the population. Samples should ideally reflect the entire population.

Q:

Sample drawing techniques

A:

• a simple random sample: each member of the population has the

same probability to end up in the sample

• a stratiﬁed random sample: the population is divided into

homogeneous subgroups and simple random samples are drawn from

each group

Q:

qualitative variables

A:

These take on values that are just labels and divide data into different categories.

Oftentimes categories are coded with numerical values (married = 1, divorced = 2 etc)

Examples: martial status, eye color, study program

Q:

quantitative variables

A:

These are measured on a numerical scale. They are further divided into discrete and continuous variables.

Q:

discrete variables

A:

countable number of distinct values

Example: number of employees, "how happy are you from 1-10?"

Q:

continuous variables

A:
• Inifinite numbers in a given interval.
• may be grouped into classes (discrete)

Example: profit of manufacturing firm

Q:

Descriptive and explorative statistics

A:

• graphical and numerical methods to describe and summarize data

• methods to detect certain patterns and relations between variables ### Erstelle und finde Lernmaterialien auf StudySmarter.

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