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Statistical Analysis of Cell Phone Usage and Traffic Accidents, Exams of Probability and Statistics

Information on how to test for independence between cell phone usage and traffic accidents using a chi-square test for contingency tables. A problem statement, a hypothesis, assumptions, and a contingency table with sample data. Students can use this document as study notes or summaries to understand the concept of independence testing in statistics.

Typology: Exams

Pre 2010

Uploaded on 08/19/2009

koofers-user-68z
koofers-user-68z 🇺🇸

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Testing for Independence
2
χ
Test for Contingency Tables
Page 571, Problem 18
Is someone using a cell phone more likely to be involved in a traffic accident? In other words, is there a
relation between using a cell phone and whether or not you are in an accident? Randomly select 775 people
and ask them two questions:
1. Did you have an accident last year?
2. Do you use a cell phone while driving your car?
Had Accident Last Year Did Not Have Accident Last Year
Cellular Phone in Use 25
300
Cellular Phone Not in
Use
50
400
Test Statistic =
( )( )
( )
2
2
1 1
i i
r c
i
o e
e
χ
=
An hypothesis is a statement that can be tested.
H
0
: Assume cell phone usage and whether in an accident are independent. (Null Hypothesis)
H
1
: These are dependent (i.e. there is a relationship).
Assumptions
1. The sample data are randomly selected;
2. For every cell in the contingency table, the expected frequency “e” is at least 5.

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Testing for Independence

2

χ Test for Contingency Tables

Page 571, Problem 18

Is someone using a cell phone more likely to be involved in a traffic accident? In other words, is there a relation between using a cell phone and whether or not you are in an accident? Randomly select 775 people and ask them two questions:

  1. Did you have an accident last year?
  2. Do you use a cell phone while driving your car?

Had Accident Last Year Did Not Have Accident Last Year

Cellular Phone in Use 25 300

Cellular Phone Not in Use

Test Statistic = (^) ( )( )

2 2 1 1

i i r c i

o e

e

An hypothesis is a statement that can be tested.

H 0 : Assume cell phone usage and whether in an accident are independent. (Null Hypothesis) H 1 : These are dependent (i.e. there is a relationship).

Assumptions

  1. The sample data are randomly selected;
  2. For every cell in the contingency table, the expected frequency “e” is at least 5.