The staff at a large mental health clinic has noticed that patients age 35 and older respond well to calls regarding follow-up appointments and medication reminders. However, patients younger than 35 have a much lower response rate to phone call reminders. They do not answer calls and do not often respond to voice mail requesting they call the clinic back; they are more likely to respond to text messages or social media outreach. The result is that many follow-up appointments are missed and patients do not take their medication as directed. Missed medication and appointments result in poor quality of mental health for patients, and missed appointments result in added costs for the clinic. The approximate number of patients on the telephone recall list is 1,500, and 60% are above 35 years of age.
Using the above case study in 700 wordsselect 2 variables from your scenario that you are interested in knowing more about; for example, gender and communication style, age and job satisfaction, or any two variables involved in your scenario.
From the variables you chose, what are their scales of measurement?
To determine their correlation, what method would you use?
Do you think these two variables are correlated? What helped you draw this conclusion? (Use the information you can find via an Internet or University Library search to help you draw a conclusion.)
Other than correlation, what measure of central tendency (such as mean, the median, the mode, and the range) could you use to draw a conclusion about your data?
What type of visual representation would you use to explain your conclusion?
What are the advantages or limitations of using this visual representation?
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