Answer:
Step-by-step explanation:
Given that :
St = the event that person is statistician
E = the event that person is Economist
Sh = the event that person is Shy
a. Briefly explain what key assumption is necessary to validly bring probability into the solution of this problem?
St and E are exclusive events since a person cannot be both statistician and economist.
Key Assumptions:
P(St) + P(E) = 1
Also;
P (St ∩ E) = ∅
b. Using the St. E and Sh notation, express the three numbers (80%, 15%, 90%) above and the probability we're solving for, in unconditional and conditional probability terms.
Given that :
80 % (0.8) of the statisticians are shy and also 15% (0.15) of the economist too are shy; Then :
In the conference; it is stated that there are 90% economist ; Therefore:
P(E) = 0.9
P(St) = 0.1
c) Briefly explain why calculating the desired probability is a good job for Bayes's The- orem
From the foregoing; we knew the probability of and asked to show that P(st|sh) = 0.37 ; Then using Bayes Theorem; we have:
As illustrated above; the required probability was determined using Bayes Theorem; Thus, calculating the desires probability is a good job for Bayes's The- orem.
Answer:
<h2>31.25%.</h2>
Step-by-step explanation:
The experimental probability is the ratio between the number of times an event occurs and the total number of trials.
In this case, the total number of trials is 64, because Page roles it 64 times.
Notice that the probability is about one event or the other, that indicates we need to sum both events.
Multiplying by 100, we have a probability of 31.25%.
Therefore, the experimental probability of getting three or four is 31.25%.
Answer:
9x -9
9(x - 1)
4(3x-3) - 3x + 3
( Hope this helps ) <(^w^)>
Answer:
1 x 4 x 12 = 48
Step-by-step explanation:
48 subs