Answer:
10.69% probability that all 12 flights were on time
Step-by-step explanation:
For each flight, there are only two possible outcomes. Either it was on time, or it was not. The probability of a flight being on time is independent of any other flight. So we use the binomial probability distribution to solve this question.
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.
In which 
is the number of different combinations of x objects from a set of n elements, given by the following formula.
And p is the probability of X happening.
83% of recent flights have arrived on time.
This means that 
A sample of 12 flights is studied.
This means that 
Calculate the probability that all 12 flights were on time
This is P(X = 12).
10.69% probability that all 12 flights were on time
Answer:
<h2>the slope m = 3</h2>
Step-by-step explanation:
Look at the picture.
The formula of a slope:
From the graph we have the points (0, 4) and (-2, -2). Substitute:
Simply the bottom to 2(x-3)
Then the top factors down into (x-3)(x+4)
The (x-3) term cancels out
You are left with ANSWER: (x+4)/2
thank you hope this helps
Simply do 8/8 - 5/8
Your answer: 3/8 of the pie is left
P(H,H,H)=P(H,T,H)
This is classical probability, so the probability of an event is the number of "favorable" events over total events.
The total number of events, by the counting principle, is 2^3=8.
The total number of events remains the same for P(H,H,H) and P(H,T,H), as you're still flipping 3 coins with two sides.
For P(H,H,H) the favorable event is (H,H,H) so 1, for P(H,T,H) the favorable event is (H,T,H) also one.
Conclusion:
P(H,H,H)=P(H,T,H)=1/8
