Question

A large corporation is interested in determining whether a relationship exists between the commuting time of...

A large corporation is interested in determining whether a relationship exists between the commuting time of its employees and the level of stress-related problems observed on the job. A study of 113 employees reveals as follows:

Stress Level

Commuting Time High Moderate Low Total

Less than 15 mins 9 5 18 32

In between 15-45 mins 17 8 28 53

More than 45 mins 18 (???) 3 (3.96) 7 28

Total 44 16 53 113

a) Which graph should be used for the study? Give the reason for your choice.

b) Find the expected frequency of the cell indicated by "???" ( Round to two decimal places)

c) Interpret in the context, the expected frequency you obtained in part (b)

Homework Answers

Answer #1

We have given,

Stress Level
Commuting Time High Moderate Low Total
< 15 mins 9 5 18 32
15 - 45 mins 17 8 28 53
> 45 mins 18(???) 3(3.96) 7 28
Total 44 16 53 113

a) Block diagram should be used for this study. Because the data is quantitative and categorical.

b) Expected frequency (E) is calculated by using below formula

E = (Corresponding row total of ??? x Corresponding column total of ???) / sample size = 44 x 28 / 113 = 10.90

c) Interpretation: If there is no association between commuting time of employees and the level of stress observed on the job, then we expect 10.90 high level of stress related problem for those who are commuting > 45 mins.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A large corporation was interested in determining whether an association exists between commuting time of their...
A large corporation was interested in determining whether an association exists between commuting time of their employees and the level of stress-related problems observed on the job. A study of 116 assembly-line workers revealed the following: Commuting Time Stress High Moderate Low Under 15 min. 15 6 21 15 min. to 45 min. 9 9 32 Over 45 min. 21 7 5 At the 5% significance level, is there evidence of a relationship between commuting time and stress? H0:____________________________      HA:...
A car insurance company performed a study to determine whether an association exists between age and...
A car insurance company performed a study to determine whether an association exists between age and the frequency of car accidents. They obtained the following sample data. under 25 25-45 over 45 total number of 0 74 90 84 248 accidents in 1 19 8 12 39 past 3 years >1 7 2 4 13 total 100 100 100 300 Conduct a test, at the 5% significance level, to determine whether the data provide sufficient evidence to conclude that an...
A large corporation is interested in determining whether the average days of sick leave taken annually...
A large corporation is interested in determining whether the average days of sick leave taken annually is more for night-shift employees than for day-shift employees. It is assumed that the distribution of the days of sick leave is normal for both shifts and that the variances of sick leave taken are equal for both shifts. A random sample of 12 employees from the night shift yields an average sick leave of 16.4 days with a standard deviation of 2.2 days....
A large corporation is interested in determining whether the average days of sick leave taken annually...
A large corporation is interested in determining whether the average days of sick leave taken annually is more for night-shift employees than for day-shift employees. It is assumed that the distribution of the days of sick leave is normal for both shifts and that the variances of sick leave taken are equal for both shifts. A random sample of 13 employees from the night shift yields an average sick leave of 11.4 days with a standard deviation of 2.2 days....
Problem #2 - In excel In stroke patient care, “Time is brain” is a popular phrase...
Problem #2 - In excel In stroke patient care, “Time is brain” is a popular phrase to emphasize that the early medical treatment is associated with increased positive therapeutic effects. One of the most important patient care performance indicators for stroke care is the “Door-to-Needle (DTN)” time (i.e., the number of minutes elapsed between patient’s arrival at the emergency department of a hospital and the infusion of a necessary medication. The stroke program manager of a hospital wants to determine...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 7 12 15 34 Science Fiction 14 9 7 30 Comedy...
A study was done to investigate whether a relationship existed between HPV (human papillomavirus) status and...
A study was done to investigate whether a relationship existed between HPV (human papillomavirus) status and HIV infection status. HPV status and HIV infection status were obtained for 97 women. Table of hpv by hiv hpv hiv Frequency Expected Row Pct Seropositive/Symptomatic Seropositive/Asymptomatic Seronegative Total Positive 23 12.928 60.53 5 7.4433 13.16 10 17.629 26.32 38 Negative 10 20.072 16.95 14 11.557 23.73 35 27.371 59.32 59 Total 33 19 45 97 Statistic DF Value Prob Chi-Square 2 19.6478 <.0001...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 6 14 14 34 Science Fiction 12 9 9 30 Comedy...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 8 12 14 34 Science Fiction 14 8 8 30 Comedy...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 9 15 10 34 Science Fiction 9 10 11 30 Comedy...