A delivery driver has 10 unique packages to deliver.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 28PPS
Topic Video
Question

please help , you can use the formula see if help

**Package Delivery**

A delivery driver has 10 *unique* packages to deliver.

---

**i** How many ways can the delivery driver select 6 of these packages to deliver?

**ii** How many ways can the delivery driver select 4 of these packages to discard while delivering the rest? Explain how this problem relates to the first subproblem.

**iii** How many different routes may the delivery truck drive to deliver 8 of the 10 packages? A route is an ordered sequence of destinations. You may assume each package may only be delivered to its unique destination.

**iv** Before leaving for the day, the delivery trucks are loaded with packages. How many ways can 120 *unique* packages be loaded into 10 delivery trucks where some trucks may have no packages?

**v** How many ways can 120 *identical* packages be loaded into 10 delivery trucks where some trucks may have no packages?

**vi** The delivery truck driver union is concerned that the workload is unequal. How many ways can 120 *identical* packages be loaded into 10 delivery trucks where each truck must have at least 5 packages?

**vii** How many ways can 120 *unique* packages be loaded into 10 delivery trucks where each truck must have the same number of packages?
Transcribed Image Text:**Package Delivery** A delivery driver has 10 *unique* packages to deliver. --- **i** How many ways can the delivery driver select 6 of these packages to deliver? **ii** How many ways can the delivery driver select 4 of these packages to discard while delivering the rest? Explain how this problem relates to the first subproblem. **iii** How many different routes may the delivery truck drive to deliver 8 of the 10 packages? A route is an ordered sequence of destinations. You may assume each package may only be delivered to its unique destination. **iv** Before leaving for the day, the delivery trucks are loaded with packages. How many ways can 120 *unique* packages be loaded into 10 delivery trucks where some trucks may have no packages? **v** How many ways can 120 *identical* packages be loaded into 10 delivery trucks where some trucks may have no packages? **vi** The delivery truck driver union is concerned that the workload is unequal. How many ways can 120 *identical* packages be loaded into 10 delivery trucks where each truck must have at least 5 packages? **vii** How many ways can 120 *unique* packages be loaded into 10 delivery trucks where each truck must have the same number of packages?
The image shows two mathematical expressions commonly used in combinatorics:

1. **Binomial Coefficient**:
   \[
   \binom{n}{k} = \frac{n!}{(n-k)!k!}
   \]
   This expression represents the number of ways to choose \(k\) elements from a set of \(n\) elements, without considering the order of selection. Here, \(n!\) (n factorial) is the product of all positive integers up to \(n\).

2. **Permutation**:
   \[
   P(n, k) = \frac{n!}{(n-k)!}
   \]
   This represents the number of ways to arrange \(k\) elements out of a set of \(n\) elements, taking order into account.

In these formulas:
- \(n\) is the total number of elements.
- \(k\) is the number of elements to select or arrange.
- \(n!\) denotes the factorial of \(n\), which is the product \(n \times (n-1) \times \ldots \times 1\).
- \((n-k)!\) and \(k!\) are similar factorial expressions for \(n-k\) and \(k\) respectively.
Transcribed Image Text:The image shows two mathematical expressions commonly used in combinatorics: 1. **Binomial Coefficient**: \[ \binom{n}{k} = \frac{n!}{(n-k)!k!} \] This expression represents the number of ways to choose \(k\) elements from a set of \(n\) elements, without considering the order of selection. Here, \(n!\) (n factorial) is the product of all positive integers up to \(n\). 2. **Permutation**: \[ P(n, k) = \frac{n!}{(n-k)!} \] This represents the number of ways to arrange \(k\) elements out of a set of \(n\) elements, taking order into account. In these formulas: - \(n\) is the total number of elements. - \(k\) is the number of elements to select or arrange. - \(n!\) denotes the factorial of \(n\), which is the product \(n \times (n-1) \times \ldots \times 1\). - \((n-k)!\) and \(k!\) are similar factorial expressions for \(n-k\) and \(k\) respectively.
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