A pizza parlor offers 8 different toppings

A pizza parlor offers 8 different toppings.
a. How many 3-topping pizzas could they put on their menu? Assume double toppings are not allowed. b. How many total pizzas are possible, with between 1 and 8 toppings?

The Correct Answer and Explanation is :

To solve the problem, we need to utilize the concept of combinations, as the order in which the toppings are chosen does not matter.

a. How many 3-topping pizzas could they put on their menu?

To find the number of ways to choose 3 toppings from a selection of 8, we use the combination formula:

[
C(n, r) = \frac{n!}{r!(n – r)!}
]

where:

  • ( n ) is the total number of items (toppings),
  • ( r ) is the number of items to choose (toppings for the pizza).

In this case, ( n = 8 ) and ( r = 3 ).

[
C(8, 3) = \frac{8!}{3!(8 – 3)!} = \frac{8!}{3! \cdot 5!}
]

Calculating this gives:

[
C(8, 3) = \frac{8 \times 7 \times 6}{3 \times 2 \times 1} = \frac{336}{6} = 56
]

So, there are 56 different 3-topping pizzas.

b. How many total pizzas are possible, with between 1 and 8 toppings?

To find the total number of pizzas with between 1 and 8 toppings, we will sum the combinations for each case (1 topping, 2 toppings, …, up to 8 toppings).

Calculating each case:

  1. ( C(8, 1) = 8 )
  2. ( C(8, 2) = \frac{8 \times 7}{2 \times 1} = 28 )
  3. ( C(8, 3) = 56 ) (calculated above)
  4. ( C(8, 4) = \frac{8 \times 7 \times 6 \times 5}{4 \times 3 \times 2 \times 1} = 70 )
  5. ( C(8, 5) = C(8, 3) = 56 ) (by symmetry)
  6. ( C(8, 6) = C(8, 2) = 28 )
  7. ( C(8, 7) = C(8, 1) = 8 )
  8. ( C(8, 8) = 1 )

Now, summing these values gives:

[
8 + 28 + 56 + 70 + 56 + 28 + 8 + 1 = 255
]

Thus, the total number of different pizzas possible, with between 1 and 8 toppings, is 255.

Summary

To summarize, the pizza parlor can create 56 different 3-topping pizzas, and the total number of pizzas possible with any combination of toppings from 1 to 8 is 255. The use of combinations allows us to calculate these possibilities efficiently, demonstrating how selection works in a combinatorial context.

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