Is the transportation mode used to ship goods independent of
type of industry? Suppose the following contingency table
represents frequency counts of types of transportation used by the
publishing and the computer hardware industries. Analyze the data
by using the chi-square test of independence to determine whether
type of industry is independent of transportation mode. Let α =
0.05.
Transportation Mode | |||||||||||||
Industry |
|
(Round the intermediate values to 2 decimal places. Round your
answer to 2 decimal places.)
Observed χ2 =
Transportation mode is (not independent OR
independent) of industry.
Applying chi square test of independence: |
Observed | Air | train | Truck | Total | |
Publishing | 33 | 12 | 36 | 81 | |
Computer Harfware | 5 | 6 | 24 | 35 | |
total | 38 | 18 | 60 | 116 | |
Expected | Ei=row total*column total/grand total | Air | train | Truck | Total |
Publishing | 26.53 | 12.57 | 41.90 | 81 | |
Computer Harfware | 11.47 | 5.43 | 18.10 | 35 | |
total | 38 | 18 | 60 | 116 | |
chi square χ2 | =(Oi-Ei)2/Ei | Air | train | Truck | Total |
Publishing | 1.58 | 0.03 | 0.83 | 2.4400 | |
Computer Harfware | 3.65 | 0.06 | 1.92 | 5.6300 | |
total | 5.2300 | 0.0900 | 2.7500 | 8.0700 | |
Observed test statistic X2= | 8.070 |
p value = | 0.018 | from excel: chidist(8.07,2) |
since p value is less than significance level , we reject null hypothesis |
Transportation mode is not independent of industry.
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