## 1. Load the hospital dataset: https://roualdes.us/data/hospital.csv
## 2. Using the hospital dataset, pick two numerical variables of
## interest and plot them. Describe the plot.
## 3. For each numerical variable, calculate 98% confidence intervals
## and interpret them.
## Try using ?dplyr::summarise
## 4. Set up two appropriately matching hypotheses for each confidence
## interval (hence, four hypothesis tests) such that one of the
## hypothesis tests would be rejected based on its corresponding
## confidence interval and the other would fail to reject.
## 5. Use the library dplyr's function group_by and summarise to
## calculate confidence intervals and hypothesis test p-values by
## region, using the hypothesis test numbers you created in 4.
## 6. Do the conclusions appropriately match? Explain.