Giving a test to a group of students, the grades and gender are
summarized below
A | B | C | Total | |
Male | 2 | 3 | 5 | 10 |
Female | 16 | 9 | 8 | 33 |
Total | 18 | 12 | 13 | 43 |
If one student is chosen at random,
Find the probability that the student was female OR got an "B".
Round the solution to three decimal place
B)
A random sample of 116 statistics students were asked about thier latest test score (pass or fail) and whether they studied for the test or not. The following contingency table gives the two-way classification of their responses.
Pass | Fail | |
Did Study | 32 | 14 |
Did Not Study | 34 | 36 |
Suppose one student is randomly selected from the group.
Calculate the following probabilities.
Round solutions to three decimal places, if necessary.
P(P(Did Study and Pass)=)=
P(P(Did Not Study and Fail)=)=
P(P(Pass or Did Not Study)=)=
P(P(Fail or Did Study)=)=
P(P(Fail and Pass)=)=
P(P(Pass or Fail)=)=
C)
A random sample of 403 students were recent surveyed regarding their class standing (freshman, sophomore, junior, senior) and their major type (STEM vs. Non-STEM). The following contingency table gives the two-way classification of the responses.
Freshman | Sophomore | Junior | Senior | |
STEM | 16 | 83 | 59 | 22 |
Non-STEM | 27 | 48 | 62 | 86 |
Suppose one student is randomly selected from the group.
Calculate the following probabilities.
Round solutions to three decimal places, if necessary.
P(P(STEM)=)=
P(P(Sophomore)=)=
P(P(Sophomore | Non-STEM)=)=
P(P(Sophmore and Non-STEM)=)=
Are the events "Sophomore" and "Non-STEM" indpendent or dependent?
Select an answer Independent Dependent
P(P(Sophmore or Non-STEM)=)=
D) Use the given information to determine the probabilities
below.
P(A)=0.33P(A)=0.33 P(B)=0.41P(B)=0.41 P(B∣A)=0.14P(B∣A)=0.14
Round solutions to three decimal places, if necessary.
If AA and BB are assumed to be dependent events,
P(AP(A and B)=B)=
If AA and BB are assumed to be independent events,
P(AP(A and B)=B)=
If AA and BB are assumed to be dependent and mutually non-exclusive
events,
P(AP(A or B)=B)=
If AA and BB are assumed to be dependent and mutually exclusive
events,
P(AP(A or B)=B)=
E) A sample of 450 deer in a forest are tested for particular a
disease. It is found that 40 of them test positive for the disease.
Round solutions to three decimal places, if necessary.
The empirical probability that a randomly chosen deer will test
positive is:
P(P(Test Positive)=)=
The empirical probability that a randomly chosen deer will test
negative is:
P(P(Test Negative)=)=
We would be looking at the first 4 parts here as:
P( female or got a B)
= n(female or B) / n(Total)
= (33 + 3) / 43
= 36/43
= 0.837
Therefore 0.837 is the required probability here.
The probability here are computed as:
-- P(did study and pass)
= n(did study and pass) / n(Total)
= 32/116
= 0.276
Therefore 0.276 is the required probability here.
-- P(did not study and fail)
= n(did not study and fail) / n(Total)
= 36/116
= 0.310
Therefore 0.310 is the required probability here.
-- P( Pass or did not study )
= n(Pass or did not study ) / n(Total)
= (116 - 14)/116
= 102/116
= 0.879
Therefore 0.879 is the required probability here.
-- P(fail or did study)
= (116 - 34)/116
= 0.707
Therefore 0.707 is the required probability here.
-- P(fail and pass) = 0 as both pail and pass cannot happen together here.
-- P(Pass or fail) = 1 as there are only 2 possibilities pass or fail.
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