Question 5-7 refer to the following contingency table: The number (in thousands)of earned degrees in the United States in the 2005-2006 academic year, classified by level and by the sex of the degree recipient.   Bachelor’s Master’s Professional Doctorate Total Female 784 276 39 20 1119 Male 559 234 44 25 862 Total 1343 510 83 45 1981 Given that the recipient is a female, what is the probability that she has a Master degree? Group of answer choices 276/1119 276/1981 276/510 510/1981

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Question 5-7 refer to the following contingency table:

The number (in thousands)of earned degrees in the United States in the 2005-2006 academic year, classified by level and by the sex of the degree recipient.

 

Bachelor’s

Master’s

Professional

Doctorate

Total

Female

784

276

39

20

1119

Male

559

234

44

25

862

Total

1343

510

83

45

1981

Given that the recipient is a female, what is the probability that she has a Master degree?

Group of answer choices
276/1119
276/1981
276/510
510/1981
 

 

Are the events “Master’s” and “Female” independent?

Group of answer choices
yes because P(“Master’s” / “Female”)= P( “Master’s”).
yes because P(“Master’s” / “Female”)= P( “Female”).
No because P(“Master’s” / “Female”) not= P( “Master’s”)
No because P(“Master’s” / “Female”) not=P(“Female”).
 
 
 
 
What is the probability that a randomly selected recipient is a Male or received a bachelor degree?
Group of answer choices
862/1981
1343/1981
1646/1981
559/1981
 
 
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