Inferential Statistics

Estimate

By point and by interval

Proportion

Mean

Variance

Probability distributions

Distribution

used in quality control

Poisson

hypergeometric distribution

geometric distribution

binomial distribution

derived from sampling

Distribution F

Student's t-distribution

Chi-square distribution

Parameters and Statistics

Parameters

Representative and descriptive value of a population as ...

μ: Mean

σ : Standard deviation

Statistics

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

Hypothesis testing

Key Words

Variance

Compare Processes

Equal variances

Mean

Paired population

Kind of Hypothesis

H0 : Null hypothesis

Ha : Alternative hypothesis

Statistical test

Rejection region

Acceptance region

Rejection criterion

Unilateral (One Tail Test)

Bilateral (Two Tail Test)

Risk of a wrong decision

Error Type I

Error Type II

Population and sample

Population

Finite

Population is small and It is possible to measure all individuals

Infinite

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

Sample

Representative Sample

Part of a population that retains the characteristics of this

Part of a population that retains the characteristics of this