Calculating probability of an event

In summary, to find the probability of P(A\prime \cap C | B \prime ), you will need to use basic set theory principles and the values of P(A), P(B), and P(C) to calculate the probability. This can be simplified using Venn diagrams and the formula P(A) + P(B) = P(A \cup B) + P(A \cap B) to re-arrange the expression.
  • #1
Nyasha
127
0

Homework Statement


Find the probability of the following statement :

[tex]P(A\prime \cap C | B \prime )[/tex]



2. The attempt at a solution

[tex]P(A \prime \cap C | B\prime ) =\frac{P ( A \prime \cap C \cap B \prime)}{P(B \prime)}= \frac{P ( A \prime \cap C \cap B \prime)}{1-P(b)}[/tex]

I am stuck as to how do l deal with the numerator. Can someone please help me ?
 
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  • #2
what are you trying to do?
 
  • #3
lanedance said:
what are you trying to do?

I am trying to calculate the probability of [tex]
P(A\prime \cap C | B \prime )
[/tex]. More of like trying to find the algebraic expression to calculate the probability of [tex]
P(A\prime \cap C | B \prime )
[/tex].
 
Last edited:
  • #4
in terms of what? ie what form are you trying to simplify to/express in?
 
  • #5
lanedance said:
in terms of what? ie what form are you trying to simplify to/express in?

I am trying to make it as simple as possible so that if given the values of A,B&C you can calculate the probability
 
  • #6
sorry, its still not clear exactly what you;re trying to do, is this an actual question? given what values?

you will need P(A), P(B), P(C) and some info about their intersections/unions

you could use some basic set theory to re-arrange, but it all depends want you want it in terms of, for example, deriving quickly from venn diagrams

looking at 2 sets A & B
[tex] P(A) + P(B) = P(A \cup B) + P(A \cap B) [/tex]

then adding another set C
[tex] P(A) + P(B) + P(C) = P(A \cup B \cup C) + P(A \cap B) + P(B \cap C) + P(C \cap A) -P(A \cap B \capC) [/tex]
 
Last edited:

1. How do you calculate the probability of an event?

The probability of an event is calculated by dividing the number of successful outcomes by the total number of possible outcomes. This can be expressed as a fraction, decimal, or percentage.

2. What is the formula for calculating probability?

The formula for calculating probability is: P(A) = number of successful outcomes / total number of possible outcomes

3. What is the difference between theoretical and experimental probability?

Theoretical probability is based on mathematical calculations and predictions, while experimental probability is based on actual results from an experiment or real-life scenario.

4. How do you determine if an event is independent or dependent?

An event is considered independent if the outcome of one event does not affect the outcome of another event. On the other hand, an event is dependent if the outcome of one event does affect the outcome of another event.

5. Can the probability of an event be greater than 1?

No, the probability of an event cannot be greater than 1. This would mean that the event is guaranteed to occur, which is not possible. The probability of an event can range from 0 (impossible) to 1 (certain).

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