Respuesta :
Probabilities are used to determine how likely it is for an event to happen.
(1) A roll of two dice
Let the dice be A and B. The sample space of each is:
[tex]A = \{1,2,3,4,5,6\}\\B = \{1,2,3,4,5,6\}[/tex]
To get the sample space (S) of the sum of the dice, we simply add up the individual element of both dice. So, we have:
[tex]S = \{(1+1),(1+2),(1+3),(1+4),(1+5),(1+6),.............,(6+1),(6+2),(6+3),(6+4),(6+5),(6+6)\}[/tex]
This gives
[tex]S = \{2,3,4,5,6,7,.............,7,8,9,10,11,12\}[/tex]
The complete sample space is:
[tex]S = \{2,3,3,4,4,4,5,5,5,5,6,6,6,6,6,7,7,7,7,7,7,8,8,8,8,8,9,9,9,9,10,10,10,11,11,12\}[/tex]
[tex]n(S) = 36[/tex] --- the total outcomes
The probability of rolling a sum of 7 is:
[tex]P(7) = \frac{n(7)}{n(S)}[/tex]
Where
[tex]n(7) = 6[/tex] ---- number of 7's in the sample space
So, we have:
[tex]P(7) = \frac 6{36}[/tex]
[tex]P(7) = 0.167[/tex]
The probability of rolling a sum of 7 is 0.167
(2) Restaurant
We have:
[tex]Soup = \{A,B,C,D\}[/tex]
[tex]Salads = \{1,2,3\}[/tex]
To get the sample space (S), we simply pick the individual elements of the above data. So, we have:
[tex]S = \{A1, A2, A3,B1, B2, B3,C1, C2, C3,D1, D2, D3\}[/tex]
(3) Disjoint events
Events are said to be disjointed if they cannot happen at the same time. 3 examples are:
- Event 1: You are in China. Event 2: You are in Nigeria
- Event 1: Heading towards north. Event 2: Heading towards south
- Even 1: Outcome of even number in a roll of die. Event 2: Outcome of an odd number in the same die
(4) Bob and Sarah
Let
[tex]A \to[/tex] Bob gets to work on time
[tex]B \to[/tex] Sarah gets to work on time
[tex]P(A) = 80\% \\ P(B) = 90\%\\P(A\ n\ B) = 72\%[/tex]
The probability that Bob OR Sarah is late for work is represented as:
[tex]P(A'\ or\ B')[/tex]
This is calculated using:
[tex]P(A'\ or\ B') = P(A') + P(B') - P(A'\ n\ B')[/tex]
Where:
[tex]P(A') = 1 - P(A) = 1 - 80\% = 20\%[/tex]
[tex]P(B') = 1 -P(B) = 1 - 90\% =10\%[/tex]
[tex]P(A\ n\ B') = P(A) \times P(B') = 20\% \times 10\% = 2\%[/tex]
So, we have:
[tex]P(A'\ or\ B') = P(A') + P(B') - P(A'\ n\ B')[/tex]
[tex]P(A'\ or\ B') = 20\% + 10\% - 2\%[/tex]
[tex]P(A'\ or\ B') = 28\%[/tex]
[tex]P(A'\ or\ B') = 0.28[/tex]
The probability that Bob OR Sarah is late for work is 0.28
(5) Jake's Pizza
Let
[tex]A \to[/tex] The proportion of time they deliver on time
[tex]B \to[/tex] You get your pizza for free
So:
[tex]P(A) = 92\%[/tex]
You get your pizza for free if they didn't deliver within 30 minutes.
This means that:
[tex]P(B) = 1 - P(A)[/tex] --- Complement rule
So, we have:
[tex]P(B) = 1 - 92\%[/tex]
[tex]P(B) = 0.08[/tex]
The probability that you get your pizza for free is 0.08.
(6) Students and Soccer
Let:
[tex]A \to[/tex] Probability that a student likes soccer
So:
[tex]P(A) = 54\%[/tex]
If all 3 selected students like soccer, the probability is calculated as:
[tex]Pr = P(A) \times P(A) \times P(A)[/tex]
[tex]Pr = P(A)^3[/tex]
[tex]Pr = 54\%^3[/tex]
[tex]Pr = 0.157[/tex]
The probability that all 3 selected students like soccer is 0.157
(7) Students and Soccer
Let:
[tex]A \to[/tex] Probability that a student likes soccer
[tex]B \to[/tex] Probability that a student does not like soccer
So:
[tex]P(A) = 54\%[/tex]
[tex]P(B)= 1 - P(A)= 1 - 54\% = 46\%[/tex] ---- Complement rule
If all 4 selected students do not like soccer, the probability is calculated as:
[tex]Pr = P(B) \times P(B) \times P(B) \times P(B)[/tex]
[tex]Pr = P(B)^4[/tex]
[tex]Pr = 46\%^4[/tex]
[tex]Pr = 0.045[/tex]
The probability that all 4 selected students do not like soccer is 0.045
(8) Marbles
[tex]Blue = 6 \\ Green = 4 \\ Red = 5[/tex]
When the green marble is selected, we are left with
[tex]Blue = 6 \\ Green = 3 \\ Red = 5[/tex]
The probability of selecting a red marble at this point is:
[tex]P(Red) = \frac{Red}{Blue + Green + Red}[/tex]
[tex]P(Red) = \frac{5}{6+3+5}[/tex]
[tex]P(Red) = \frac{5}{14}[/tex]
[tex]P(Red) = 0.357[/tex]
The probability that the next marble you draw is red is 0.357
(9) Studying for test
Let
[tex]A \to[/tex] Students got an A
[tex]B \to[/tex] Students studied for test
So:
[tex]P(A\ n\ B) = 60\% \\ P(B) = 75\%[/tex]
The probability that a student got an A given that they studied for the test is represented as:
[tex]P(A | B)[/tex]
So, we have:
[tex]P(A | B) = \frac{P(A\ n\ B)}{P(B)}[/tex]
[tex]P(A | B) = \frac{60\%}{75\%}[/tex]
[tex]P(A | B) = 0.80[/tex]
The probability that a student got an A given that they studied for the test is 0.80
Read more about probabilities at:
https://brainly.com/question/16693319