More Probability problems

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P(A \cap B') = P(A) * (1-P(B)).In summary, the probability of stopping at the first light signal is 0.4, the probability of stopping at the second light signal is 0.5, and the probability of stopping at least one of the two signals is 0.6. The probability of stopping at both signals is 0.3, and the probability of stopping at the first signal but not the second is 0.1. The probability of stopping at exactly one of the two signals is 0.3. These calculations assume that the events are independent.
  • #1
tronter
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[tex] P(\text{stop at first light signal}) = 0.4 = P(A) [/tex]

[tex] P(\text{stop at second light signal}) = 0.5 = P(B) [/tex]

[tex] P(\text{stop at least one of two signals}) = 0.6 = P(A \cup B) [/tex]

Then [tex] P(A \cap B) = P(A) + P(B) - P(A \cup B) = 0.3 [/tex]

[tex] P( \text{first signal but not second}) = P(A \cap B') = 1-0.3 = 0.7 [/tex]

[tex] P(\text{exactly one signal}) = P(A \cup B) - P(A \cap B) = P(A \Delta B) = 0.3 [/tex]


Are these correct?
 
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  • #2
They are; except can you explain P(1st but not 2nd) = 0.7?
 
  • #3
yeah that's incorrect. It should be [tex] P(A \cap B') = P(A) - P(A \cap B) = 0.4-0.3 = 0.1 [/tex]
 
  • #4
tronter said:
yeah that's incorrect. It should be [tex] P(A \cap B') = P(A) - P(A \cap B) = 0.4-0.3 = 0.1 [/tex]
Shouldn't it be [tex]P(A \cap B') = P(A) * (1-P(B))[/tex]

Assuming there independent
 

1. What is probability?

Probability is the measure of the likelihood of an event occurring. It is expressed as a number between 0 and 1, where 0 indicates impossibility and 1 indicates certainty.

2. How do you calculate probability?

To calculate probability, you divide the number of favorable outcomes by the total number of possible outcomes. This can be written as P(A) = (# of favorable outcomes) / (# of possible outcomes).

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

Theoretical probability is based on mathematical calculations and assumes that all outcomes are equally likely. Experimental probability is based on actual data collected from experiments or observations, and can be different from theoretical probability due to chance or other factors.

4. How can probability be used in real life?

Probability can be used in various fields, such as finance, sports, and medicine. It can help predict future outcomes and make informed decisions based on the likelihood of different events occurring.

5. What are some common misconceptions about probability?

One common misconception is the idea of the "law of averages," which suggests that if an event has not occurred for a long time, it is more likely to happen in the future. However, each event is still independent and the probability remains the same. Another misconception is the belief that past events can influence future outcomes, when in reality, probability is based on random chance and does not take into account past events.

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