To predict how many orders of a breakfast sandwich and a cup of orange juice Mitch would sell, we need to calculate the probability of this specific combination occurring based on the data he has collected during the first hour.
Let's assume the following breakdown of orders during the first hour:
- Breakfast sandwich alone: 200 orders
- Muffin alone: 150 orders
- Orange juice alone: 300 orders
- Milk alone: 250 orders
- Breakfast sandwich and orange juice: 100 orders
- Breakfast sandwich and milk: 50 orders
- Muffin and orange juice: 80 orders
- Muffin and milk: 30 orders
Total orders = 200 + 150 + 300 + 250 + 100 + 50 + 80 + 30 = 1060
Now, let's calculate the probability of selling a breakfast sandwich and a cup of orange juice:
Probability = (Number of breakfast sandwich and orange juice orders) / (Total number of orders)
Probability = 100 / 1060
Probability ≈ 0.0943
Now, to predict how many orders of a breakfast sandwich and a cup of orange juice Mitch would sell if he had 1,765 customers:
Predicted number of orders = Probability * Total number of customers
Predicted number of orders = 0.0943 * 1765
Predicted number of orders ≈ 166.5765
Therefore, Mitch would predict to sell approximately 167 orders of a breakfast sandwich and a cup of orange juice if he had 1,765 customers.
Mitch owns a coffee shop and keeps track of how many orders he fills and in what combination of items they are during the first hour his shop is open. Combinations include either a breakfast sandwich or muffin and either orange juice or milk. Mitch needs to predict how many orders of a breakfast sandwich and a cup of orange juice he would except to sell if he had 1,765 customers
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