d) Another factor that is thought to have influence in smoking is marital status. The pivot table below (Exhibit 9), examines the distribution of all individual’s marital status. Investigate whether the smoking is independent of the individual marital status. Use “marital status = divorced” and “smoke = Yes” In your explanation, write down the probability statements that would support the independency relationship.
d) Another factor that is thought to have influence in smoking is marital status. The pivot table below (Exhibit 9), examines the distribution of all individual’s marital status. Investigate whether the smoking is independent of the individual marital status. Use “marital status = divorced” and “smoke = Yes” In your explanation, write down the probability statements that would support the independency relationship.
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d) Another factor that is thought to have influence in smoking is marital status. The pivot table below (Exhibit 9), examines the distribution of all individual’s marital status.
Investigate whether the smoking is independent of the individual marital status.
Use “marital status = divorced” and “smoke = Yes”
In your explanation, write down the probability statements that would support the independency relationship.
![Count of smoke
marital status
Single
Married
Separated
Widowed
Divorced
Grand Total
Exhibit 9
smoke
No
239
622
46
164
97
1168
Yes
147
138
20
37
55
397
Grand Total
386
760
66
201
152
1565](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F508a77ab-0a17-47f4-81a6-47a24375402a%2F85f042fa-bdb2-446a-a19b-541e49828adc%2F7pivg7k_processed.png&w=3840&q=75)
Transcribed Image Text:Count of smoke
marital status
Single
Married
Separated
Widowed
Divorced
Grand Total
Exhibit 9
smoke
No
239
622
46
164
97
1168
Yes
147
138
20
37
55
397
Grand Total
386
760
66
201
152
1565
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