Combined & Conditional Probability Flashcards

All 17 cards in this deck

What is the multiplication rule for two independent events?

e.g. P(Owen scores)=0.4P(\text{Owen scores})=0.4, P(Wasim scores)=0.25P(\text{Wasim scores})=0.25

P(A and B)=P(A)×P(B)P(A \text{ and } B) = P(A) \times P(B)

e.g. P(both score)=0.4×0.25=0.1P(\text{both score}) = 0.4 \times 0.25 = 0.1

What is the addition rule for mutually exclusive events?

e.g. P(win)=0.3P(\text{win})=0.3, P(draw)=0.1P(\text{draw})=0.1 in one game

P(A or B)=P(A)+P(B)P(A \text{ or } B) = P(A) + P(B)

e.g. P(win or draw)=0.3+0.1=0.4P(\text{win or draw}) = 0.3 + 0.1 = 0.4

True or false? If P(Owen scores)=0.4P(\text{Owen scores}) = 0.4 and P(Wasim scores)=0.25P(\text{Wasim scores}) = 0.25, then the probability that both score is 0.4+0.250.4 + 0.25.

False. For 'both', independent probabilities should be multiplied: 0.4×0.250.4 \times 0.25.

True or false? P(A or B)=P(A)+P(B)P(A \text{ or } B) = P(A) + P(B) for any two events AA and BB.

False. Adding only works for mutually exclusive events; otherwise an outcome could be in both categories and gets counted twice.

How do you find the probability of 'at least one' of several events happening?

e.g. two tests, P(fails both)=0.0351P(\text{fails both}) = 0.0351

1−P(none of them happen)1 - P(\text{none of them happen})

e.g. P(passes at least one)=1−0.0351=0.9649P(\text{passes at least one}) = 1 - 0.0351 = 0.9649

What are the steps to find the probability that exactly one of two independent events happens?

e.g. P(A)=0.3P(A)=0.3, P(B)=0.5P(B)=0.5

  1. P(A and not B)=0.3×0.5=0.15P(A \text{ and not } B) = 0.3 \times 0.5 = 0.15
  2. P(not A and B)=0.7×0.5=0.35P(\text{not } A \text{ and } B) = 0.7 \times 0.5 = 0.35
  3. Add the two: 0.15+0.35=0.50.15 + 0.35 = 0.5

What does the notation P(B∣A)P(B \mid A) mean?

The probability of BB given that AA has happened.

In a conditional probability such as 'given that the customer uses type A', what must the denominator be?

The total number in the given group only (all those who use type A), not the overall total.

What are the steps to find a conditional probability from a two-way table?

e.g. one of the 22 females is chosen; find P(said Spain)P(\text{said Spain}), where 3 females said Spain

  1. Find the total of the given row or column: 22 females
  2. Find how many of those are in the wanted category: 3
  3. Divide: 322\frac{3}{22}

What are the steps to find P(B∣A)P(B \mid A) from a Venn diagram?

e.g. 12 members in set AA altogether, 4 of them also in BB

  1. Restrict the sample space to set AA: 12
  2. Count those in AA that are also in BB: 4
  3. Divide: 412=13\frac{4}{12} = \frac{1}{3}

True or false? P(A∣B)P(A \mid B) is always equal to P(B∣A)P(B \mid A).

False. They have different denominators, so they are usually different.

True or false? If P(A∣B)=P(A)P(A \mid B) = P(A), then AA and BB are independent.

True. Knowing BB has happened does not change the probability of AA.

When an object is taken without replacement, what happens to the probabilities for the second selection?

The total goes down by 1, and the number of that colour goes down by 1 if one was taken.

e.g. 4 red of 12, first red taken: P(second red)=311P(\text{second red}) = \frac{3}{11}

True or false? When two counters are taken from a bag without replacement, the two selections are independent events.

False. They are dependent — the first counter changes what is left for the second.

What are the steps to find the probability that 3 objects taken without replacement are all the same colour?

e.g. 4 red counters in a bag of 12, find P(3 reds)P(3 \text{ reds})

  1. First pick: 412\frac{4}{12}
  2. Reduce top and bottom by 1 each time: 311\frac{3}{11}, then 210\frac{2}{10}
  3. Multiply: 412×311×210=155\frac{4}{12}\times\frac{3}{11}\times\frac{2}{10} = \frac{1}{55}

What are the steps to find the probability of one of each colour when 2 objects are taken without replacement?

e.g. 3 red and 2 blue counters, find P(one of each)P(\text{one of each})

  1. P(red then blue)=35×24=620P(\text{red then blue}) = \frac{3}{5}\times\frac{2}{4} = \frac{6}{20}
  2. P(blue then red)=25×34=620P(\text{blue then red}) = \frac{2}{5}\times\frac{3}{4} = \frac{6}{20}
  3. Add both orders: 1220=35\frac{12}{20} = \frac{3}{5}

In a bag of nn counters of which rr are red, what is the probability that the first two taken without replacement are both red?

rn×r−1n−1\frac{r}{n}\times\frac{r-1}{n-1}