Are all employees equally proven to having accidents? To investigate this hypothesis, Parry (1985) looked at a light manufacturing plant classified the accidents by type and by age of the employee. Age Accident (sprain) Accident (burn) Accident (cut) Under 25 25 and over 9 61 17 13 5 12 A chi-square test gave a test-statistic of 20.78. If we test at a=0.05, which one of the following statements is CORRECT?

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Are all employees equally proven to having accidents? To investigate this hypothesis, Parry (1985) looked at a light manufacturing plant and
classified the accidents by type and by age of the employee.
Age
Accident (sprain)
Accident (burn) Accident (cut)
Under 25
25 and over
9
61
17
13
5
12
A chi-square test gave a test-statistic of 20.78. If we test at a=0.05,
which one of the following statements is CORRECT?
Select one:
a. Accident type does not seem to be independent of age.
b. There appears to be a 0.2078 correlation between accident type and age.
c. Age seems to be independent of accident type.
O d. There appears to be no association between accident type and age.
e. The proportion of sprain, cut and burns seem to be similar for both age classes.
Transcribed Image Text:Are all employees equally proven to having accidents? To investigate this hypothesis, Parry (1985) looked at a light manufacturing plant and classified the accidents by type and by age of the employee. Age Accident (sprain) Accident (burn) Accident (cut) Under 25 25 and over 9 61 17 13 5 12 A chi-square test gave a test-statistic of 20.78. If we test at a=0.05, which one of the following statements is CORRECT? Select one: a. Accident type does not seem to be independent of age. b. There appears to be a 0.2078 correlation between accident type and age. c. Age seems to be independent of accident type. O d. There appears to be no association between accident type and age. e. The proportion of sprain, cut and burns seem to be similar for both age classes.
Expert Solution
Step 1

Null Hypothesis:

H0: The age and accident type are independent.

Alternative Hypothesis:

H1: The age and accident type are not independent.

Test statistic=20.78

alpha=0.05

Number of rows=2

Number of columns=3

df=(number of rows-1)*(number of columns-1)=(2-1)*(3-1)=2

 

 

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