How big will the F statostoc be if we expect that variation we see in our ANOVA can be explained by error?
What is close to 1 (or less than F critical)
100
It's the number of generators used in a quarter fraction design
What is two.
100
It's the term that describes the highest order interaction term within a fractional factorial experiment
The defining relationship (I)
100
It's the principle that allows us to reduce our DOE designs to fractional factorials
What is the principle of orthogonality (balance)
100
It's the test technique we use to compare more than two treatments when determining if their values differ significantly
What is an ANOVA test.
200
It's the value of the P value that tells us that a measurement is significant and not just a consequence of random variation
What is when p value is less than the level of significance for the test (in most cases 0.05)
200
It's the resolution of a 4 factor two level experiment with one design generator
What is IV.
200
It's the level of interaction effect that is aliased with the main effects in a resolution III design
what is second level interaction effects
200
What is the concept of estimating a range of expected answers from a sample measurement that reflects the possibility of random sampling error in the measurment
What is the concept of confidence and generating a confidence interval
200
It's the calculation describing the degree of importance a single factor in a two level design has on the measurement result.
What is an "effect"
300
It's the value that tells us the overall average for all samples in all treatment groups
What is the grand mean.
300
It's the name given to the fraction we run first when we take a fractional factorial design
Principle Fraction
300
It's the terminology used to describe all the aliased combinations in a design that is not fully resolved.
Aliasing Structure
300
It is the concept of performing a test more than once to learn about the within treatment measurement error
What is replication.
300
It's the name given to a process where higher order effects are ignored in design analysis
What is OFAT (one factor at a time) designing
400
It's the idea of baselining out the contribution of factors that we aren't interested in evaluating to focus on how the response is driven by other factors of interest
What is blocking.
400
It's the only design where all interactions are not aliased on the first run
full factorial
400
For a 4 factor design with two levels, it's the list of terms that is aliased to the value [A] in a half fractional design
What is [BCD]
400
They are the two measurements used to make a rough estimate of signal to noise when interpreting results.
What are SST and SSE.
400
It's the name of the plot that shows us levers between the means of the two levels in a 2^k design
What are Main Effects Plots and Interaction Effects Plots
500
It's the two terms describing the repeatability of a measurement and the trueness of a measurement in an experiment
Precision and Accuracy (neither of which are confidence)
500
It's the name given to the second part f a half fractional design that is run if there isn't enough clarity with the first half of the design
Alternate Fraction
500
It's the name given to a method of de-aliasing for general factorial design that is used to enhance the understanding of variation by extending the reach of each factor along the axes of its cube plot
Axial Design
500
It's the test used to assess normality on a normal probability plot
What is the "fat pen test".
500
It is the goal of studying statistics for chemistry students
What is to make good decisions for complicated problems with a minimal amount of data, and to understand the trade-offs we are making in the process.