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When the chi-square observed values (O) deviates significantly from the expected values (E), then

a. the marginal tools= 1
b. the data are nominal
c. the chi-square cannot be calculated
d. the null hypothesis is rejected

User Bniwredyc
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Final answer:

In a chi-square test, when the observed values deviate significantly from the expected values, the null hypothesis is rejected.

Step-by-step explanation:

When the observed values (O) deviate significantly from the expected values (E) in a chi-square test, it means that the null hypothesis is rejected. The chi-square test is used to determine if there is a significant association between two categorical variables. If the observed values differ significantly from the expected values, it suggests that there is a relationship between the variables.

User MAZUMA
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