1. The table below gives the thousands of commuters in Massachusetts in 2015 by transportation method and one-way length of commute. < 15min 15-29min 30-44min 44-59min 60 or > total private vehicle 636 908 590 257 256 2647 public transport 9 54 96 62 108 329 other 115 70 23 7 222 Total 760 1032 709 326 371 3198 Find the following as decimals to the nearest thousandth: a) P(private vehicle and 15-29 min. commute) "and" is key =ncerivatevehicle and 15 908 にerd84 ろ1981 0.282 0.283931 to tal b) P(private vehicle) xP (15-29 min. commute ) =(Pr ?(Private vehicle) x e(15 -29 min, total = 2647 to tal 7 0.82770S x0,32270230.2 %3D 1032 3198 3198 =0.267 c) Based on your calculations, are having a private vehicle and a 15-29 min. commute time independent of one another? Google the formula for independent probability look for set notation. Independent : Plerivate vehicle and 15-29 min,com P(private venicle)xP(15-29min Commute frem Parts (A) and(6) Not Independent:P(Privale vehicle and15-39min commute): P(Private ehicle)xP(15aamin commute) Private venice and 15-29 min.commute are not D) How do you know? Can you make a formula for independent events using set notation? indeR

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
I only need help with "D" i only need help with "D" thank you!
### Commuter Data Analysis

**1. Commuter Statistics in Massachusetts (2015)**

The table below presents data on commuters in Massachusetts in 2015, categorized by transportation method and the duration of a one-way commute. The numbers are given in thousands.

| Commute Time      | < 15 min | 15-29 min | 30-44 min | 44-59 min | 60 min or more | Total |
|-------------------|----------|-----------|-----------|-----------|----------------|-------|
| **Private Vehicle** | 636      | 908       | 590       | 257       | 256            | 2647  |
| **Public Transport**| 9        | 54        | 96        | 62        | 108            | 329   |
| **Other**          | 115      | 70        | 23        | 7         | 7              | 222   |
| **Total**          | 760      | 1032      | 709       | 326       | 371            | 3198  |

**Calculations:**

- **a) Probability of using a private vehicle and having a 15-29 min commute:**

  Formula:  
  \( P(\text{private vehicle and 15-29 min commute}) = \frac{908}{3198} \approx 0.284 \)

- **b) Probability of using a private vehicle times the probability of a 15-29 min commute:**

  Formula:  
  \[
  P(\text{private vehicle}) \times P(\text{15-29 min commute}) = \frac{2647}{3198} \times \frac{1032}{3198} \approx 0.267
  \]

- **c) Independence Analysis:**

  Determine if using a private vehicle and having a 15-29 min commute are independent:

  **Independent Formula:**
  \[
  P(\text{private vehicle and 15-29 min commute}) = P(\text{private vehicle}) \times P(\text{15-29 min commute})
  \]

  **Not Independent:**  
  From calculations, the values differ, so having a private vehicle and a 15-29 min commute are not independent events.

**d) Question on Independence:**

- **How do you know?** Compare the product
Transcribed Image Text:### Commuter Data Analysis **1. Commuter Statistics in Massachusetts (2015)** The table below presents data on commuters in Massachusetts in 2015, categorized by transportation method and the duration of a one-way commute. The numbers are given in thousands. | Commute Time | < 15 min | 15-29 min | 30-44 min | 44-59 min | 60 min or more | Total | |-------------------|----------|-----------|-----------|-----------|----------------|-------| | **Private Vehicle** | 636 | 908 | 590 | 257 | 256 | 2647 | | **Public Transport**| 9 | 54 | 96 | 62 | 108 | 329 | | **Other** | 115 | 70 | 23 | 7 | 7 | 222 | | **Total** | 760 | 1032 | 709 | 326 | 371 | 3198 | **Calculations:** - **a) Probability of using a private vehicle and having a 15-29 min commute:** Formula: \( P(\text{private vehicle and 15-29 min commute}) = \frac{908}{3198} \approx 0.284 \) - **b) Probability of using a private vehicle times the probability of a 15-29 min commute:** Formula: \[ P(\text{private vehicle}) \times P(\text{15-29 min commute}) = \frac{2647}{3198} \times \frac{1032}{3198} \approx 0.267 \] - **c) Independence Analysis:** Determine if using a private vehicle and having a 15-29 min commute are independent: **Independent Formula:** \[ P(\text{private vehicle and 15-29 min commute}) = P(\text{private vehicle}) \times P(\text{15-29 min commute}) \] **Not Independent:** From calculations, the values differ, so having a private vehicle and a 15-29 min commute are not independent events. **d) Question on Independence:** - **How do you know?** Compare the product
**Table of Commuter Data in Massachusetts (2015)**

The table below shows the number of commuters in Massachusetts in 2015 (in thousands) categorized by the mode of transportation and one-way commute length.

|              | < 15 min | 15-29 min | 30-44 min | 44-59 min | 60 min or > | Total  |
|--------------|----------|-----------|-----------|-----------|-------------|--------|
| Private Vehicle | 636      | 908       | 590       | 257       | 256         | 2647   |
| Public Transport | 9        | 54        | 96        | 62        | 108         | 329    |
| Other        | 115      | 70        | 23        | 7         | 7           | 222    |
| **Total**    | **760**  | **1032**  | **709**   | **326**   | **371**     | **3198**|

**Calculations:**

a) **P(private vehicle and 15-29 min commute)**

- Formula: \( P(A \text{ and } B) = \frac{n(\text{private vehicle and 15-29 min commute})}{\text{total}} \)
  
  \[
  P = \frac{908}{3198} = 0.2841
  \]

b) **P(private vehicle) x P(15-29 min commute)**

- P(private vehicle): \( \frac{2647}{3198} = 0.82705 \)

- P(15-29 min commute): \( \frac{1032}{3198} = 0.322702 \)

- Combined Probability:

  \[
  P = 0.82705 \times 0.322702 = 0.26710
  \]

c) **Independence Check:**

- Two events are independent if:

  \[
  P(\text{private vehicle and 15-29 min commute}) = P(\text{private vehicle}) \times P(\text{15-29 min commute})
  \]

- Calculation shows:

  \[
  0.2841 \neq 0.26710
  \]

- Hence, having a private vehicle and a 15-29 min commute time are **not independent
Transcribed Image Text:**Table of Commuter Data in Massachusetts (2015)** The table below shows the number of commuters in Massachusetts in 2015 (in thousands) categorized by the mode of transportation and one-way commute length. | | < 15 min | 15-29 min | 30-44 min | 44-59 min | 60 min or > | Total | |--------------|----------|-----------|-----------|-----------|-------------|--------| | Private Vehicle | 636 | 908 | 590 | 257 | 256 | 2647 | | Public Transport | 9 | 54 | 96 | 62 | 108 | 329 | | Other | 115 | 70 | 23 | 7 | 7 | 222 | | **Total** | **760** | **1032** | **709** | **326** | **371** | **3198**| **Calculations:** a) **P(private vehicle and 15-29 min commute)** - Formula: \( P(A \text{ and } B) = \frac{n(\text{private vehicle and 15-29 min commute})}{\text{total}} \) \[ P = \frac{908}{3198} = 0.2841 \] b) **P(private vehicle) x P(15-29 min commute)** - P(private vehicle): \( \frac{2647}{3198} = 0.82705 \) - P(15-29 min commute): \( \frac{1032}{3198} = 0.322702 \) - Combined Probability: \[ P = 0.82705 \times 0.322702 = 0.26710 \] c) **Independence Check:** - Two events are independent if: \[ P(\text{private vehicle and 15-29 min commute}) = P(\text{private vehicle}) \times P(\text{15-29 min commute}) \] - Calculation shows: \[ 0.2841 \neq 0.26710 \] - Hence, having a private vehicle and a 15-29 min commute time are **not independent
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Inequality
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman