Exercise

# Oregon Health Experiment Data: Finding an ATE

Now that we've checked for balance between our treatment and control, let's check to see the effect of Medicaid on some of our medical outcomes of interest, like the patients' blood pressure. A person's blood pressure is measured by two numbers, e.g. 114/71, where the first number is the "systolic" blood pressure and the second is the "diastolic" blood pressure. These are counted in the `OHIE`

dataframe through two variables: systolic pressure in `bp_sar_inp`

and diastolic pressure in `bp_var_inp`

.

Now let's check the treatment effect on systolic blood pressure (`bp_sar_inp`

) by comparing systolic blood pressure in the treatment and control groups. To check for statistical significance, let's look at p values of the t-test. A p-value below .05 suggests that a result is statistically significant.

Instructions

**100 XP**

- 1) Manually calculate the average treatment effect on systolic blood pressure by subtracting the
`mean`

value for systolic blood pressure in the treatment group minus the`mean`

value for systolic blood pressure in the control group. - 2) Use a t.test to determine whether the treatment and control groups have significantly different average values for systolic blood pressure (variable
`bp_sar_inp`

). - 3) After looking at the p-value of the t-test, can we say the t-test results are statistically significant? Answer "yes" or "no".