Exercise 1: The 2010 National Hospital Ambulatory Medical Care Survey (NHAMCS) is a national (United States) sample surv

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Exercise 1 The 2010 National Hospital Ambulatory Medical Care Survey Nhamcs Is A National United States Sample Surv 1 (46.79 KiB) Viewed 85 times

Exercise 1: The 2010 National Hospital Ambulatory Medical Care Survey (NHAMCS) is a national (United States) sample survey of visits to hospital outpatient and emergency departments. This survey was conducted by the National Center for Health Statistics. In this exercise, simple linear regression will be used to examine factors associated with patient waiting time in minutes) of persons admitted to the Emergency Departments (EDs) of participating hospitals in 2010. The average waiting time reported by the over 27,000 survey participants is 56.3 minutes (s=78.7 minutes, with a range of 0 to 1,335 minutes) To start a simple linear regression was performed to relate average ED waiting times to subject's sex, with x coded as 1 for male and 0 for female and the estimated standard error of the slope for sex is 0.95. The R for this regression is <.01. Based on these regression results: 1. What is the mean waiting for females in the sample? 2. What is the mean waiting time for males in the sample? 3. What is the estimated mean difference in wait times for males compared to females? 4. Compute and report a 95% CI for the population level for the mean difference in waiting times for males compared to females. 5. Is the mean difference from question 3 statistically significant at the 0.05 level? Now, suppose x, had instead been coded as I for females, and o for males. 6. What would the intercept value be in the regression of waiting time on x, with this new coding schema (1 for females. O for males?) 7. What would the slope value for x, be in the regression of waiting time on x, with this new coding schema (1 for females, O for males?) 8. What would the 95% CI for the slope of x be in regression of waiting time on x, with this new coding schema (1 for females, O for males?)