Looks to me as though your text has typographical (at least) errors.
There's no way one could get a total SS of 70 thousand from those data;
unless perhaps the text is using the European style of decimal notation,
in which "70,880" would mean what in North America would be written
"70.880".  In any case, your analysis appears to be correct;  using
Minitab, I get the same results.  FWIW, I have appended the Minitab
output file to this post.

On Fri, 20 Dec 2002, Ronny Richardson wrote in part:

> ... the 3rd edition of Elementary Statistics by Bluman ... have an
> example problem on two-way ANOVA that I'm stuck on. (page 567)
>
> This is a simple 2x2 two-way ANOVA problem with the following data:
>
>           Two Wheel    Four-Wheel
> Regular        27.6          28.6
>                25.2          29.3
> High           32.8          24.2
>                32.8          24.2
>
> It does not matter, but this is gas mileage for two and four wheel
> drive on regular and "high test". They show the following ANOVA
> table:
>
> Source                  SS   df
> --------------------------------
> Gasoline, A          3,920    1
> Automobile, B        9,680    1
> Interaction (AxB)   54,080    1
> Within (error)       3,300    4
> --------------------------------
> Total               70,880    7
>
> Excel does not offer two-way ANOVA but it does offer two-factor
> ANOVA with replication. I as assuming that two-way = two-factor

That is correct.

> ... and that seems to match problems in other books I've looked at.
> With Excel, I get the following:
>
> Source            SS   df       MS       F   P-value   F crit
> Sample         1.361    1    1.361   1.742     0.257    7.709
> Columns       18.301    1   18.301  23.426     0.008    7.709
> Interaction   62.161    1   62.161  79.566     0.001    7.709
> Within         3.125    4    0.781
> Total         84.949    7

This matches my results with Minitab.  See below for confirmation.

> I don't think the differences between Bluman and Excel are due to any
> problems with Excel since it gets the right results with problems I tried
> from other textbooks. Any ideas on what I, Bluman, or Excel is doing wrong
> or differently?

I'd guess that Bluman was analyzing a different two-way with the same
structure (2 x 2, with 2 replications per cell), possibly one that had
appeared in this place in the second edition.  If your text has an
e-mail address for the author, send him a note (forward this one if you
like):  he'll be glad of the information and the opportunity to correct
the error for the next printing.

> Ronny Richardson

The Minitab file appears below my .sig (74 lines):    -- DFB.
 -----------------------------------------------------------------------
 Donald F. Burrill                                            [EMAIL PROTECTED]
 56 Sebbins Pond Drive, Bedford, NH 03110                 (603) 626-0816
 [was:  184 Nashua Road, Bedford, NH 03110               (603) 471-7128]
 -----------------------------------------------------------------------
  <Comments edited in, shown in angle brackets.>

 MTB > exec 'ronny'
 MTB > note  Original data, for two-way ANOVA:
 MTB > note      Two Wheel    Four-Wheel              2-wheel       4-wheel
 MTB > note  Regular  27.6          28.6  High-test      32.8          24.2
 MTB > note           25.2          29.3                 32.8          24.2
 MTB >
 MTB > name c1 'Gas' c2 'Drive' c3 'Mileage'         <supply variable names>
 MTB > note  Gas:     1 = regular,   2 = high-test
 MTB > note  Drive:   1 = two-wheel, 2 = four-wheel
 MTB > set c3
 DATA>   27.6          28.6        32.8          24.2
 DATA>   25.2          29.3        32.8          24.2
 DATA> end of data
 MTB > set c1        <c1 = column 1 of the worksheet, named "Gas">
 DATA>  2(1 2)2      <and similarly for c2, c3>
 DATA> end of data
 MTB > set c2
 DATA>  4(1 2)
 DATA> end of data
 MTB > print c1-c3      <to verify accuracy of copying and indexes>

  ROW   Gas  Drive  Mileage

    1     1      1     27.6
    2     1      2     28.6
    3     2      1     32.8
    4     2      2     24.2
    5     1      1     25.2
    6     1      2     29.3
    7     2      1     32.8
    8     2      2     24.2

 MTB > anova c3 = c2!c1       <Factorial ANOVA program>

 Factor     Type Levels Values
 Drive     fixed      2     1     2
 Gas       fixed      2     1     2

 Analysis of Variance for Mileage

 Source       DF         SS         MS       F      P
 Drive         1     18.301     18.301   23.43  0.008
 Gas           1      1.361      1.361    1.74  0.257
 Drive*Gas     1     62.161     62.161   79.57  0.001
 Error         4      3.125      0.781
 Total         7     84.949

 MTB > twoway c3 c2 c1

 ANALYSIS OF VARIANCE  Mileage    <2-way ANOVA program>

 SOURCE        DF        SS        MS    <same results, but without
 Drive          1    18.301    18.301     F and p calculations>
 Gas            1     1.361     1.361
 INTERACTION    1    62.161    62.161
 ERROR          4     3.125     0.781
 TOTAL          7    84.949

 MTB > table c1 c2;              <Table of means, to compare with
 SUBC> mean c3.                   raw data, for verification.>

  ROWS: Gas     COLUMNS: Drive

            1        2      ALL

   1   26.400   28.950   27.675
   2   32.800   24.200   28.500
  ALL  29.600   26.575   28.087

   CELL CONTENTS --
           Mileage:MEAN

.
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