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Impurities in the form of iron oxides lower the economic value and usefulness of industrial minerals, such as kaolins, to ceramic and paper-processing industries. A 24 experiment was conducted to assess the effects of four factors on the percentage of iron removed from kaolin samples (鈥淔actorial Experiments in the Development of a Kaolin Bleaching Process Using Thiourea in Sulphuric Acid Solutions,鈥 Hydrometallurgy, 1997: 181鈥197). The factors and their levels are listed in the following table:

The data from an unreplicated\({2^4}\)experiment is listed in the next table.

Short Answer

Expert verified

\({\rm{\;a}}{\rm{. estimate\;}} = \frac{{{\rm{\;effect\;}}}}{{{2^p}}};{\rm{\;b}}{\rm{. Interactions\;}}A,C,{\rm{\;and\;}}D{\rm{\;are significant\;}}\)

Step by step solution

01

 Find cell total.

(a)The cell totals, in the standard order, are

The other cell totals are

An efficient method for hand computation due to Yates is: write total of 8 cells totals in the standard order. Obtain next 8 cells with just adding d to each combination to obtain total of 16 cells. Add four more columns to the table of 16 cells. The entries in the columns represent sum of particular entries of the previous columns - first eight are sum of 1 and 2 ; 3 and 4 ; 5 and 6 ; 7 and 8 ; etc; and the last eight are differences between 2 and 1 ; 4 and 3 ; 6 and 5 ; 7 and 8 ; etc. The table becomes:

02

Create Table.

03

Find sums.

To understand the table above, see the following details:

First (second) column consist of corresponding sums of particular factors at corresponding levels ,

eg.\({x_{1111}}\)is the sum when factor\(A\)is held at level 1 , factor \(B\)is held at level 1 , factor\(C\)is held at level 1 , and factor\(D\)is held at level 1 . Third column is constructed as follows:

first row is sum of \({x_{1111.}}\)and\({x_{2111.}}\)

\({x_{1111.}}\)+\({x_{2111.}}\)=7+11=18;

Second rowis sum of \({x_{1211}}\)and\({x_{2211}}\)

\({x_{1211}}\)+\({x_{2211}}\)=7+12=19;

Third rowis sum of \({x_{1121.}}\)and\({x_{2121}}\)

\({x_{1121.}}\)+\({x_{2121}}\)=21+41=62;

Fourth row \({x_{1221}}\)and\({x_{2221}}\)

\({x_{1221}}\)+\({x_{2221}}\)=27+48=75;

Continue until eight row.

04

Find sums.

Ninth rowis um of \({x_{2111.}}\)and\({x_{1111}}\)

\({x_{2111.}}\)+\({x_{1111}}\)=11-7=4;

Tenth row is um of \({x_{2211}}\)and\({x_{1211.}}\)

\({x_{2211}}\)+\({x_{1211.}}\)=12-7=5;

Eleventh rowis sum of \({x_{2121.}}\)and \({x_{1211}}\)

\({x_{2121.}}\)+ \({x_{1211}}\)=41-21=20;

Twelve row is sum of \({x_{2221}}\)and\({x_{1221}}\)

\({x_{2221}}\)+ \({x_{1221}}\)=48-27=21;

Continue until the last row.

In a similar manner obtain fourth, fifth, and sixth column. The formula to obtain the seventh column is given in the table.

05

Compute estimate.

The estimate are computed using the formula

\({\rm{\;estimate\;}} = \frac{{{\rm{\;effect contrast\;}}}}{{{2^p}}}\)

Where \(p = 4\)in this case this is the estimate because \(n = 1\). The estimate of main effects are

\({\hat \alpha _1} = \frac{{144}}{{{2^4}}} = 9\)

\({\hat \beta _1} = \frac{{36}}{{{2^4}}} = 2.25\)

\({\hat \delta _1} = \frac{{272}}{{{2^4}}} = 17\)

\({\hat \gamma _1} = \frac{{336}}{{{2^4}}} = 21\)

Estimates of two-factor interaction effects for this experiment are

\({(\widehat {\alpha \beta })_{11}} = \frac{0}{{{2^4}}} = 0\)

\({(\widehat {\alpha \delta })_{11}} = \frac{{32}}{{{2^4}}} = 2\)

\({(\hat \alpha \gamma )_{11}} = \frac{4}{{{2^4}}} = 2.75\)

\({(\widehat {\beta \delta \delta })_{11}} = \frac{{12}}{{{2^4}}} = 0.75\)

\({(\hat \beta \gamma )_{11}} = \frac{8}{{{2^4}}} = 0.5\)

\({(\widehat {\delta \gamma })_{11}} = \frac{{72}}{{{2^4}}} = 4.5\)

06

Write the effects in order.

(b)

Order the effects

-32,-12,-4,-4,-4

0,8,12,32,36,44,72,144,272,336,684

Then find the corresponding \(z\)values and create the normal probability plot The plot suggest the interactions \(A,C,{\rm{\;and\;}}D\) are significant.

07

Compute Normal probability with graph

Thus the result is \({\rm{\;estimate\;}} = \frac{{{\rm{\;effect\;}}}}{{{2^p}}}{\rm{; b}}{\rm{. Interactions\;}}A,C,{\rm{\;and\;}}D{\rm{\;are significant\;}}\).

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