Hospital administrators at a local hospital are interested in quality of care. As such, they ask a random sample of patients that have used the hospital's health care services to fill out a questionnaire. The questionnaire has questions about the patient's worry (negative, positive), the hospital staff's communication skills (low, medium, high), and satisfaction with medical care. The administrators are interested in how patient's worry and their assessment of the hospital staff's communication impact their satisfaction with medical care. The survey data are below. What can the administrators conclude with an α of 0.01? Communication Worry low med high negative 76868 54545 67495 positive 86677 78687 78666 A) Input the appropriate value(s) to make a decision about H0.Worry: p-value = Communication: p-value = Interaction: p-value = B) Using the SPSS results, compute the corresponding effect size(s) and indicate magnitude(s).Worry: η2 = Communication: η2 = Interaction: η2 = C) Make an interpretation based on the results. There is a worry difference in medical care satisfaction. There is no worry difference in medical care satisfaction. There is a communication difference in medical care satisfaction. There is no communication difference in medical care satisfaction. There is a worry by communication interaction in medical care satisfaction. There is no worry by communication interaction in medical care satisfaction.
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
Hospital administrators at a local hospital are interested in quality of care. As such, they ask a random sample of patients that have used the hospital's health care services to fill out a questionnaire. The questionnaire has questions about the patient's worry (negative, positive), the hospital staff's communication skills (low, medium, high), and satisfaction with medical care. The administrators are interested in how patient's worry and their assessment of the hospital staff's communication impact their satisfaction with medical care. The survey data are below. What can the administrators conclude with an α of 0.01?
| Communication | |||
| Worry | low | med | high |
| negative | 7 6 8 6 8 |
5 4 5 4 5 |
6 7 4 9 5 |
| positive | 8 6 6 7 7 |
7 8 6 8 7 |
7 8 6 6 6 |
A) Input the appropriate value(s) to make a decision about H0.
Worry: p-value =
Communication: p-value =
Interaction: p-value =
B) Using the SPSS results, compute the corresponding effect size(s) and indicate magnitude(s).
Worry: η2 =
Communication: η2 =
Interaction: η2 =
C) Make an interpretation based on the results.
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