Find how likely the event will occur?

  • Thread starter brorsonyao
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In summary, the attempt at a solution is to simplify "Not A and (Not A or/and Not B)" to (Not A and Not A) and ( Not A and Not B).
  • #1
brorsonyao
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Homework Statement


P(A) = 0.3
P(B) = 0.5
P (A and B) = 0.2

Find P (Not A, given not A or/and not B)?

The Attempt at a Solution


So I think
P (Not A, given not A or/and not B)=
P (Not A and (Not A or/and Not B)) / P (Not A or/and Not B)

Is this correct? But I don't understand how to calculate P (Not A and (Not A or/and Not B)). Could someone help with this part?
 
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  • #2
What you have done so far is correct. To make further progress, it's easier to see what is going on if you use more formal notation.

"not A or/and not B" is better known as

[tex]\overline{A} \cup \overline{B}[/tex]

There is an elementary property that you can use to express this in terms of

[tex]A \cap B[/tex]

That will take care of the denominator. For the numerator,

"not A and (not A or/and not B)"

is more formally written as

[tex]\overline{A} \cap (\overline{A} \cup \overline{B})[/tex]

What sort of distributive laws do you know that will allow you to simplify this?
 
  • #3
Hi, yeah I didn't know how to write those signs on the forums..

So, could this expression (Not A and (Not A or/and Not B)) then be simplified to (Not A and Not A) and ( Not A and Not B)? This part is what I don't understand..
 
  • #4
brorsonyao said:
Hi, yeah I didn't know how to write those signs on the forums..

So, could this expression (Not A and (Not A or/and Not B)) then be simplified to (Not A and Not A) and ( Not A and Not B)? This part is what I don't understand..

That's not quite right. The distributive property for sets works like the distributive property for arithmetic. For numbers x, y, and z, you have

[tex]x*(y+z) = (x*y) + (x*z)[/tex]

and analogously if A, B, and C are sets,

[tex]A \cap (B \cup C) = (A \cap B) \cup (A \cap C)[/tex]

Unlike the arithmetic distributive law, which is false if you interchange the * and + symbols, the set distributive law is true if you switch the [itex]\cap[/itex] and [itex]\cup[/itex]:

[tex]A \cup (B \cap C) = (A \cup B) \cap (A \cup C)[/tex]

So in your case, you can write

[tex]\overline{A} \cap (\overline{A} \cup \overline{B}) = (\overline{A} \cap \overline{A}) \cup (\overline{A} \cap \overline{B})[/tex]

which can be further simplified from here. Hint: first simplify [tex](\overline{A} \cap \overline{A})[/tex], then apply the appropriate distributive property.

There's also a quicker way to simplify [tex]\overline{A} \cap (\overline{A} \cup \overline{B})[/tex] without using the distributive law, if you recognize that [tex](\overline{A} \cap \overline{B})[/tex] is a set which contains [tex]\overline{A}[/tex] as a subset. But even if you don't notice this shortcut, you will get the same answer either way.

P.S. If you want to learn how to typeset an equation in these forums, you can click on any equation in anyone's message and a popup window will show you exactly what to type.
 

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

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

2. What factors affect the likelihood of an event occurring?

The likelihood of an event occurring can be affected by various factors such as the sample size, the number of possible outcomes, and the presence of external influences.

3. How do you express the probability of an event occurring?

The probability of an event occurring can be expressed as a fraction (e.g. 1/4), a decimal (e.g. 0.25), or a percentage (e.g. 25%).

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

No, the probability of an event occurring cannot be greater than 1. A probability of 1 represents 100% certainty that the event will occur, while a probability less than 1 indicates a chance that the event will not occur.

5. How do you interpret the probability of an event occurring?

The probability of an event occurring represents the likelihood or chance that the event will happen. A higher probability indicates a greater chance of the event occurring, while a lower probability suggests a lower chance of the event happening.

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