Descriptions Flashcards

1
Q

define inferance

A

learning from data using statistical tools

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2
Q

What are the three classes of data which we can gather

A

catigorical
- ordinal: some increases decrease
- nominal
discreate
continuous
- graphical representation
- can be coursened (height to cm)

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3
Q

define a parameter

A

Parameters denoted with lowercase greek letters
parameters - a numerical representation of a measure of interest in a population

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4
Q

What are the symbols and definitions around a parameter

A

µ = mean of a pop

σ = sd of a pop

π = proportion of a population

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5
Q

What is a random variable

A

represents the possible outcomes of a random phenomenon

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6
Q

what is a statistic

A

numeric sumary of data

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6
Q

What is an estimate and how is it related to parameters

A

n estimate is a guess based around a sample for a parameters value
X¯ stat + estimate = ^µ parameter

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6
Q

define a ratio and proportion

A

ratio = a compairison of one variable against annother
proportion is one variable agaisnt a population

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6
Q

when is it appropritate to use a score

A

When continuous data is challanging to exspress as a defined unit

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7
Q

What are the three kinds of Censored data

A

right censored:
when the true value is higher than a known value
left censored:
when the true value is lower than a known value
interval censored:
when the true value is between two known values

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