One-factor experiments

Empirical Modeling. The effect of process variables on the rate of depKJsition and properties of electrolessly depKJsited metals is usually studied by one-factor-at-a-time experiments (one-factor experiments are discussed further later in the book). In these experiments the effect of a single variable (factor), such as Xj, in the multivariable process with the response y, y = fixi, %2, X3,. .., x ), is studied by varying the value (level) of this variable while holding the values of the other independent variable fixed, y Any prediction (extrapolation) of the effect of a single variable on... 

Figure 8.14. Rate of electroless cobalt deposition as a function of pH at 30 and 100 g/L citrate one-factor experiments. (From Ref. 65, with permission from the Electrochemical Society.)...

A one-factor experiment was done, which showed that, in the assumed experimental region, the quantity of extracted material and its saturation with mercury are of no importance. As in this experiment, a caustic with constant mercury content of 12x10"4% was used, this factor is also excluded from considerations. After this selection the following factors have remained ... 

Accordingly we should conclude that D and N interact, and we should inspect the data broken down into one factor experiments. We can compare Dj with D, at each level of N, using the Student t test to compare the two means for D. We find that the difference between Dj and is not significant for N, but is quite considerable for Nj. Similarly we can compare the difference between Ni and N, for each level of D, when we find that the difference between the two levels of N is greater for Dj than for Dj. 

Method of the least squares is used at processing of the functional experiments data. In the case of the one independent variable (one-factor experiment), the type... 

Other types of sensor tests, such as checking the vacuum-tight joints of the sensor, a vibration test, and so on, have usually been planned as one-factor experiments. 

For example, in the case of a one-factor experiment, the total variability of the data, SSj, is the sum of the variability due to changes in the independent variable, 55i and the variability due to uncontrolled factors (experimental errors), 55 ... 

High Performance Textiles and Their Applications Table 1.5 ANOVA for one-factor experiment... 

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