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The table displays information about people at a neighborhood park.
| wearing sneakers | not wearing sneakers | total | |
|---|---|---|---|
| wearing a hat | 8 | 2 | 10 |
| not wearing a hat | 3 | 12 | 15 |
| total | 11 | 14 | 25 |
Jada has a way to find the probability of a random outcome being in event A or event B. She says, “We use the probability of the outcome being in event A, then add the probability of the outcome being in event B. Now some outcomes have been counted twice, so we have to subtract the probability of the outcome being in both events so that those outcomes are only counted once.”
Jada's method can be rewritten as:
| population less than 4 million | population at least 4 million | |
|---|---|---|
| name begins with A through M |
11 | 15 |
| name begins with N through Z |
13 | 11 |
For each event, write which of the four states listed here is an outcome in that event.
Use Jada's formula to find the probability that a randomly selected senior has all As and perfect attendance.
At a cafe, customers order coffee at the bar, and then either go to another table where the cream and sugar are kept or find a seat. Based on observations, a worker estimates that
Use the worker's estimates to find the percentage of all customers who use both cream and sugar for their coffee. Explain or show your reasoning.
What percentage of the different types of juice come in a bottle holding less than 400 mL or are low-sugar? Explain your reasoning.
The addition rule is used to compute probabilities of compound events. The addition rule states that, given events A and B, .
For example, the student council sold 100 shirts that are either gray or blue and in sizes medium and large.
| medium | large | total | |
|---|---|---|---|
| gray | 20 | 10 | 30 |
| blue | 15 | 55 | 70 |
| total | 35 | 65 | 100 |
A student who bought a shirt is chosen at random. One way to find the probability that this student bought a shirt that is blue or medium is to begin with the probabilities for shirts sold in that color and size. The probability that the student bought a blue shirt is 0.70 since 70 out of the 100 shirts sold were blue. The probability that the student bought a medium shirt is 0.35 since 35 out of the 100 shirts sold were medium.
Because we are interested in the probability of a blue shirt or a medium shirt being purchased, we might think we should add these probabilities together to find .
This doesn’t seem to work since it is saying the probability is greater than 1.
The problem is that the 15 students who bought shirts that are both medium in size and blue are counted twice when the probabilities are added. To fix this double counting, we should subtract the probability that the chosen student is in both categories so that these students are counted only once.
The addition rule then shows that the probability the student bought a medium shirt or a blue shirt is 0.90 because , or , which is 0.90.
The addition rule states that given events A and B, the probability of either A or B is given by .