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Algebra 2

Unit 9

Probability

6 topics · 24 practice questions · Free responseNot yet reviewed

Notes

Counting

  • Counting principle: multiply the number of choices at each step.
  • Permutations (order matters): $\displaystyle _nP_r = \frac{n!}{(n - r)!}$.
  • Combinations (order doesn't matter): $\displaystyle _nC_r = \frac{n!}{r!\,(n - r)!}$.
  • Divide by $k!$ for each group of $k$ identical items when arranging.

Probability rules

RuleFormula
Complement$P(\text{not } A) = 1 - P(A)$
Or$P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B)$
And (independent)$P(A \text{ and } B) = P(A)P(B)$
And (dependent)$P(A \text{ and } B) = P(A)P(B \mid A)$
Conditional$\displaystyle P(B \mid A) = \frac{P(A \text{ and } B)}{P(A)}$

Tips

  • "At least one" problems are easiest with the complement.
  • Without replacement, the totals shrink after each draw.
  • In a two-way table, the "given" tells you which row or column to use as the denominator.

Topics in this unit

Each topic has its own short notes and practice.

Practice

A team needs 2 girls chosen from 7 and 1 boy chosen from 5. How many teams are possible?
In how many ways can 6 different books be arranged on a shelf?
Two cards are drawn from a standard deck without replacement. What is the probability both are aces?
A lottery picks 5 different numbers from 1 to 30, and order doesn't matter. How many tickets are possible?
The chance of rain is 0.3. If it rains, the chance the bus is late is 0.5. What is the probability it rains and the bus is late?
$A$ and $B$ are independent, with $P(A) = 0.6$ and $P(B) = 0.3$. Find $P(A \text{ or } B)$.

Free response

Write your answer first, then open the scoring guide.

Free-response question

A screening test is given to 1,000 people. 20 of them have a certain condition, and 19 of those test positive. Of the 980 people without the condition, 98 test positive.

(a) What is the probability that a randomly chosen person tests positive?

Show the answer and scoring guide

Positives: $19 + 98 = 117$. $\displaystyle P(\text{positive}) = \frac{117}{1000} = 0.117$.

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(b) A person tests positive. What is the probability they have the condition?

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$\displaystyle P(\text{condition} \mid \text{positive}) = \frac{19}{117} \approx 0.162$.

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(c) Are "testing positive" and "having the condition" independent? Explain with probabilities.

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$\displaystyle P(\text{positive} \mid \text{condition}) = \frac{19}{20} = 0.95$, but $P(\text{positive}) = 0.117$. These are not equal, so the events are not independent.

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