E484: What is the relation between resolution III experiments and confounded responses?
A. In resolution III experiments, there are no confounded interactions
B. In resolution III experiments, only interactions are confounded
C. In resolution III experiments, all factors are confounded
D. In resolution III experiments, main effects and two factor interactions are confounded
The correct option should be
d.In resolution III experiments,main effects and two factor interactions are confounded
E484: What is the relation between resolution III experiments and confounded responses? A. In resolution III...
14. A 25-2 design is defined by 4 13 and 5 23. (a) Find its defining words and resolution. (b) After the analysis, variable 5 turns out to be inert. It is assumed that all two-factor interactions involving variable 5 and all higher order interactions are negligible. In addition to estimating the four main effects, there are st three degrees of freedom left. What two-factor interactions can be estimated with these three degrees of freedom?
14. A 25-2 design is...
(d). If it is known that the standard deviation of each
observation is 1.5, what is the standard error of the estimates in
(b)?
(e) Based on the results in (a)-(c), which of the three effects
in (b) are significant? comment on synergistic and antagonistic
interactions.
Please parts (a), (b), (c), (d) & (e). thanks
3. An experimenter obtained eight yields for the design given below 1 2 3 4 5 Yield 26 28 23 19 18 30 28 Source:...
Which of the following is not a factor that differentiates within-subjects and between-subjects designs? a. Within-subjects designs tend to have fewer participants. b. Between-subjects designs are more effective in demonstrating cause-and-effect. c. Within-subjects designs are more likely to be confounded by time-related factors and order effects. d. Between-subjects designs are more likely to be confounded by individual differences.
just for part b c e
Consider the following experiment of the effects of eight factors on the taste of a 1985 Pinot Noir, as assessed by a panel of five experts. Each expert ranked the sixteen samples of wine, with rank "1" denoti the best and "16" the worst. The final outcome for a treatment- level combination is the average rank for that particular wine over all the experts, which we shall treat as a continuous outcome. Descriptions of...
478: There is strong interaction between two variables. This means that: A. An interaction occurs when the effect of one input factor on the output depends upon the level of another input factor B. An interaction occurs when there is a strong correlation between two factors C. An interaction occurs when the effect of one input factor on the output depends upon the level of the same input factor D. An interaction occurs when two or more factors are confounded...
Create a 32-run crossed array design with six control factors and two noise factors such that (1) all control × noise two-factor interactions are clear, (2) all noise main effects are clear, and (3) all noise × noise two-factor interactions are clear. Fully describe the reasoning that you used to create your design.
Interactions: a. occur when the effect of one factor on the dependent variable is independent of the level of other factors b. occur only in one-way ANOVA tests c. indicate the effect of one factor on the dependent variable is the same regardless of the level of the other factors d. indicate patterns of differences in means that could not be guessed from the main effects alone
5. (a) Consider a hypothetical two-way layout with three factors (A, B, C) each at two levels (I, II). Construct a table of cell means for which there is no interaction. (b) (Rice 12.5.12) Again consider a hypothetical two-way layout with three factors (A, B, C) each at two levels (I, II). Is it possible for there to interactions but no main effects? Describe the difference between interaction and main effects in your explanation
5. (a) Consider a hypothetical two-way...
7:42 PM Wed Oct 10 Design and Analysis of Experiments, 9th Edition Generally, the engineering units are not directly comparable, but they may have physical meaning as in the present example. This could lead to possible simpification based on the underlying almost all situations, the coded unit analysis is preferable. It is fairly unusual for a simplification based on some underlying mechanism (as in our example) to oocur. The fact that coded variables let an experimenter see the relative importance...
Design outputs are called: a. Responses b. Effects c. Factors d. All of the above