Question
12. Marginal, joint, and conditional probabilities based on a cross-classification table Surveys conducted for the Pew Internet & American Life Project suggest that communication patterns
12. Marginal, joint, and conditional probabilities based on a cross-classification table
Surveys conducted for the Pew Internet & American Life Project suggest that communication patterns vary across three groups of teenagers: social networkers, content creators, and multichannel teens (teens who use the Internet, instant messaging, text-messaging cell phones, and social networks).
In one survey, Internet-using teenagers were asked how often they send e-mail to friends. Their responses are summarized in the following table. Separate tabulations are provided for social networkers (teens who have a profile on a social network site such as Facebook or Instagram) and for teens who are not social networkers.
E-mails Every Day | Does Not E-mail Every Day | Total | |
---|---|---|---|
Social networker | 104 | 389 | 493 |
Not a social networker | 28 | 365 | 393 |
Total | 132 | 754 | 886 |
Let S | = | the event the Internet-using teen is a social networker, |
N | = | the event the Internet-using teen is not a social networker, |
E | = | the event the Internet-using teen sends e-mail to friends every day, and |
O | = | the event the Internet-using teen does not send e-mail to friends every day. |
Consider this experiment: An Internet-using teenager is randomly selected and surveyed. The teen is categorized as a social networker or not a social networker and as someone who sends e-mail to friends every day or someone who does not.
The probability that the randomly selected Internet-using teenager does not send e-mail to friends every day is = .
The probability that the randomly selected Internet-using teenager is a social networker who does not send e-mail to friends every day is = .
The probability that the randomly selected Internet-using teenager does not send e-mail to friends every day given that he or she is a social networker is = .
Are events O and S independent?
Yes
No
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