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At a gift shop, the purchases for one week are recorded in the table below:

\begin{tabular}{|l|c|c|c|}
\hline
& Tee Shirt & \begin{tabular}{c}
Long Sleeve \\
Shirt
\end{tabular} & Jacket \\
\hline Small & 71 & 38 & 2 \\
\hline Medium & 97 & 41 & 23 \\
\hline Large & 31 & 11 & 0 \\
\hline
\end{tabular}

If we choose a customer at random, what is the probability that they have purchased a tee shirt or an item that is small?

[tex]\[ P(\text{Tee Shirt or Small}) = \underline{[?]} \][/tex]

Give your answer in simplest form.


Sagot :

To find the probability that a randomly chosen customer has purchased either a tee shirt or an item that is small, we need to use the principle of inclusion-exclusion. This principle helps us compute the probability of either of two events happening by accounting for their overlap.

First, let's summarize the given data based on the table:

- Tee Shirt:
- Small: 71
- Medium: 97
- Large: 31
- Long Sleeve Shirt:
- Small: 38
- Medium: 41
- Large: 11
- Jacket:
- Small: 2
- Medium: 23
- Large: 0

### Step 1: Total Purchases by Category

1. Total Tee Shirts:
[tex]\[ 71 \text{ (small)} + 97 \text{ (medium)} + 31 \text{ (large)} = 199 \][/tex]

2. Total Small Items:
[tex]\[ 71 \text{ (tee shirt small)} + 38 \text{ (long sleeve small)} + 2 \text{ (jacket small)} = 111 \][/tex]

3. Total Purchases Overall:
[tex]\[ (71 + 97 + 31) \text{ (tee shirts)} + (38 + 41 + 11) \text{ (long sleeves)} + (2 + 23 + 0) \text{ (jackets)} = 314 \][/tex]

### Step 2: Probabilities

1. Probability of Choosing a Tee Shirt (P(Tee Shirt)):
[tex]\[ P(\text{Tee Shirt}) = \frac{\text{Total Tee Shirts}}{\text{Total Purchases}} = \frac{199}{314} \][/tex]

2. Probability of Choosing a Small Item (P(Small)):
[tex]\[ P(\text{Small}) = \frac{\text{Total Small Items}}{\text{Total Purchases}} = \frac{111}{314} \][/tex]

3. Probability of Choosing a Tee Shirt and a Small Item (P(Tee Shirt AND Small)):
[tex]\[ P(\text{Tee Shirt AND Small}) = \frac{71}{314} \quad \text{(since 71 customers bought small tee shirts)} \][/tex]

### Step 3: Using Inclusion-Exclusion Principle

According to the principle of inclusion-exclusion, the probability of choosing a tee shirt or a small item (P(Tee Shirt OR Small)) is:

[tex]\[ P(\text{Tee Shirt OR Small}) = P(\text{Tee Shirt}) + P(\text{Small}) - P(\text{Tee Shirt AND Small}) \][/tex]

### Step 4: Substituting the Values

[tex]\[ P(\text{Tee Shirt OR Small}) = \frac{199}{314} + \frac{111}{314} - \frac{71}{314} \][/tex]

Combining these fractions directly:

[tex]\[ P(\text{Tee Shirt OR Small}) = \frac{199 + 111 - 71}{314} = \frac{239}{314} \][/tex]

Hence, the probability that a randomly chosen customer has purchased either a tee shirt or a small item is:

[tex]\[ P(\text{Tee Shirt OR Small}) = \frac{239}{314} \][/tex]