- analysis of variance (ANOVA)
- degrees of freedom (df)
- F-ratios
- mean squares (MS)
- sources of variation
- sum of squares (SS)
- ancillary variables
- block structure
- borrowing strength
- central limit theorem effect
- confidence interval
- binomial distribution, p
- difference between means of two Normal distributions
- mean of Normal distribution
- regression line
- survival probability
- data displays
- box and whisker plot
- contour plot
- dot plot
- individual value plot
- interaction plot
- line plot
- main effect plot
- probability plot
- scatter plot
- effect sparcity
- examples
- battery life
- boys’ shoe soles
- corrosion resistance,
- e-mail marketing
- ethanol fuel mixes
- gasoline additives
- gear teeth strength
- growth rate of rats
- heart rate medications
- penicillin production
- poisons and antidotes
- pot production
- shampoo marketing
- textile production
- tomato fertilizer
- wire bond strength
- experimental designs
- balanced incomplete block
- completely randomized
- crossover
- Graeco–Latin square
- Latin square
- one-factor-at-a-time
- optimal design,
- randomized complete block
- repeated measures,
- response surface,
- robust design
- split-unit
- experimental units
- interaction, block and/or treatment factors
- prediction intervals
- principles, experimental design
- blocking
- control
- randomization
- replication
- probability distributions
- binomial
- F
- Normal
- Student’s t
- regression, curve-fitting
- reliability analysis, 183–4response measurement
- Satterthwaite’s approximation
- significance testing
- P-value
- reference distribution
- significance tests
- paired sample t
- randomization
- rank sum (Mann–Whitney)
- sign
- two-sample t
- sizing an experiment
- based on confidence-interval width
- based on power curve
- standard error
- of a difference between means
- of a mean
- of a regression coefficient
- tolerance intervals
- treatment structures
- two-level factors
- fractional factorial
- full factorial
- variance components
- variance transmission
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