Probability Question experiment

In summary, the conversation discussed different relations between two events A and B, where A is the event {1,2,3} and B is the event {3,4,5}. These events do not necessarily have to have equally likely outcomes. The relations considered were P(A) = P(B), P(A) = 2P(B), P(A) = 1 - P(B), P(A) + P(B) > 1, P(A) - P(B) < 0, and P(A) - P(B) > 1. It was determined that all of these relations can hold except for P(A) - P(B) > 1, which violates the rule that probabilities must be between 0
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Homework Statement


Suppose that an experiment has five possible outcomes, which are denoted {1,2,3,4,5}. Let A be the Event {1,2,3} and let B be the event {3,4,5}. (Notice that we did not say that the five outcomes are equally likely: The probability distributions could be anything.) For each of the following relations, tell whether it could possibly hold.

If it could, give a numerical example using a probability distribution of your own choice; if it could not, explain why not (what rule is violated).

a. P(A) = P(B)
b. P(A) = 2P(B)
c. P(A) = 1 - P(B)
d. P(A) + P(B) > 1
e. P(A) - P(B) < 0
f. P(A) - P(B) > 1

Homework Equations


The Attempt at a Solution

I am honestly not sure If I am doing these right, so please correct me if I am in the wrong direction.

a. P(A) = P(B)
Can Hold: Example if set is uniformly distributed.
P(A) = .6 = P(B)

b. P(A) = 2P(B)
Can hold:
P(1)=.35
P(2)=.3
P(3)=.05
P(4)=.15
P(5)=.15

.7 = .7

c. P(A) = 1 - P(B)
P(A) = P(1) + P(2) +P(3), P(B') = P(1) + P(2)
This holds if P(3) = 0

d. P(A) + P(B) > 1
Can hold if uniformly distributed.
.6+.6 = 1.2

e. P(A) - P(B) < 0
Can hold: P(1) = .1, P(2) = .1, P(3) = .2, P(4) = .3, P(5) = .3
P(A)= .4, P(B)=.8
P(A) - P(B) = -.4

f. P(A) - P(B) > 1
Can not hold. P(A) & P(B) are both between 1 and 0. Using extreme points 1-1 = 0, 0-1 = -1, 1-0 = 1.
 
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They are all right.
 

FAQ: Probability Question experiment

1. What is the purpose of conducting a probability question experiment?

The purpose of conducting a probability question experiment is to study the likelihood of different outcomes in a given situation or scenario. By using mathematical principles and statistical analysis, a scientist can determine the probability of a specific event occurring and make predictions based on that information.

2. How is probability calculated in a probability question experiment?

Probability is calculated by dividing the number of desired outcomes by the total number of possible outcomes. For example, if you want to know the probability of rolling a 6 on a standard six-sided die, you would divide 1 (the number of desired outcomes) by 6 (the total number of possible outcomes), resulting in a probability of 1/6 or approximately 16.67%.

3. Can probability be manipulated in a probability question experiment?

No, probability cannot be manipulated in a probability question experiment. The probability of an event occurring is based on the underlying factors and cannot be changed or influenced by external factors or variables.

4. What is the difference between theoretical and experimental probability in a probability question experiment?

Theoretical probability is based on mathematical calculations and assumes that all outcomes are equally likely. Experimental probability, on the other hand, is based on actual data and observations from conducting an experiment. It may differ from theoretical probability due to chance or other factors.

5. How can probability question experiments be used in real-world applications?

Probability question experiments can be used in a variety of real-world applications, such as predicting stock market trends, weather forecasting, and risk assessment in fields like insurance and finance. They can also be used to analyze data in scientific studies and make informed decisions based on the likelihood of certain outcomes.

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