Inferential Statistics Mind Map

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Inferential Statistics

Population and sample

Sample

Representative Sample

Part of a population that retains the characteristics of this

Population

Infinite

Population is too big and It is impossible or unaffordable to measure all individuals

Finite

Population is small and It is possible to measure all individuals

Hypothesis testing

Risk of a wrong decision

Error Type II

Error Type I

Rejection criterion

Bilateral (Two Tail Test)

Unilateral (One Tail Test)

Statistical test

Acceptance region

Rejection region

Kind of Hypothesis

Ha : Alternative hypothesis

H0 : Null hypothesis

Key Words

Paired population

Equal variances

Compare Processes

Parameters and Statistics

Statistics

Actions or functions of the sample data that help characterize the distribution of such data

Parameters

Representative and descriptive value of a population as ...

σ : Standard deviation

μ: Mean

Probability distributions

Distribution

derived from sampling

Chi-square distribution

Student's t-distribution

Distribution F

used in quality control

binomial distribution

geometric distribution

hypergeometric distribution

Poisson

Estimate

By point and by interval

Variance

Mean

Proportion