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The marketing department of a company has designed three different boxes for its product. It wants to determine which box will produce the largest amount of sales. Each box will be test marketed in five different stores for a period of a month. Information on sales is provided below.
Store 1 | Store 2 | Store 3 | Store 4 | Store 5 | |
Box 1 | 210 | 230 | 190 | 180 | 190 |
Box 2 | 195 | 170 | 200 | 190 | 193 |
Box 3 | 295 | 275 | 290 | 275 | 265 |
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What are the null and alternative hypotheses in this case?
Select one:
a. Ho: μ 1 = μ 2 Ha: μ 1 = μ 3
b. Ho: μ 1 = μ 3 Ha: μ 3 = μ 2
c. Ho: μ 1 = μ 2 = μ 3 Ha: all means are different
d. Ho: μ 1 = μ 2 = μ 3 Ha: at least one mean is different
e. Ho: μ1 = μ2 Ha: μ2 = μ3
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The treatments sum of squares is
Select one:
a. 27,400.41
b. 711.07
c. 2,022.14
d. 2,466.72
e. 24,467.2
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The error sum of squares is
Select one:
a. 27,400.41
b. 2,022.14
c. 24,667.2
d. 2,466.72
e. 711.07
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The blocks degrees of freedom are
Select one:
a. 8
b. 14
c. 6
d. 4
e. 2
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The total degrees of freedom are
Select one:
a. 6
b. 2
c. 4
d. 14
e. 8
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The treatments mean square is
Select one:
a. 12,233.60
b. 6,166.80
c. 1,233.36
d. 177.77
e. 252.77
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The F statistic is
Select one:
a. 48.4
b. 24.7
c. 69.38
d. 8.65
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With α = 0.01, critical F statistic is
Select one:
a. 4.46
b. 6.06
c. 8.65
d. 46.4
e. 48.4
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What conclusion do you draw?
Select one:
a. Do not reject Ho: all means are equal.
b. Do not reject Ho: all means are different.
c. Reject Ho: at least one mean is different from others.
d. The test result is inconclusive.
e. Reject Ho: all means are equal.
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With α = 0.01, the value of Fisher’s LSD is
Select one:
a. 28.37
b. 31.87
c. 32.68
d. 33.73
e. 29.12
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Based on the LSD test above, which (if any) is different from the others?
Select one:
a. The mean of box 1 is different from the others.
b. All means are different.
c. All means are equal.
d. The mean of box 2 is different from the others.
e. The mean of box 3 is different from the others
using excel data analysis tool for two factor anova, following
o/p Is obtained : write data>menu>data>data
analysis>anova :two factor without replication>enter required
labels>ok, and following o/p Is obtained,
Anova: Two-Factor Without Replication | ||||||
SUMMARY | Count | Sum | Average | Variance | ||
1 | 3 | 700 | 233 | 2908.333 | ||
2 | 3 | 675 | 225 | 2775.000 | ||
3 | 3 | 680 | 227 | 3033.333 | ||
4 | 3 | 645 | 215 | 2725.000 | ||
5 | 3 | 648 | 216 | 1803.000 | ||
Box 1 | 5 | 1000 | 200 | 400.000 | ||
Box 2 | 5 | 948 | 142 | 133.300 | ||
Box 3 | 5 | 1400 | 134 | 150.000 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Rows | 711.07 | 4 | 177.77 | 0.703 | 0.6114 | 7.01 |
Columns | 24467.20 | 2 | 12233.60 | 48.399 | 0.0000 | 8.65 |
Error | 2022.13 | 8 | 252.77 | |||
Total | 27200.40 | 14 |
13)
d. Ho: μ 1 = μ 2 = μ 3 Ha: at least one mean is different
14) 24467.20
15) 2022.13
16) 4
17) 14
18) 12,233.60
19) 48.4
20) c. 8.65
21) c. Reject Ho: at least one mean is different from others.
22)
Fishers LSD critical value=tα/2,df √(MSE(1/ni+1/nj)) = 33.73
23)
if absolute difference of means > critical value,means are
significnantly different ,otherwise not
population mean difference | critical value | result | |||||
µ1-µ2 | 10.400 | 33.73 | means are not different | ||||
µ1-µ3 | 80.000 | 33.73 | means are different | ||||
µ2-µ3 | 90.400 | 33.73 | means are different |
e. The mean of box 3 is different from the others
Hello, Need HELP for ALL Questions The marketing department of a company has designed three different...
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