Data Cleaning – Quiz 4

1. Suppose that you are estimating the average number of times that teachers are off-task in the dataset, but some teachers are missing classroom observation data. What is the best way to deal with this missing data?

Continuing from Quiz 3 (i.e. not reloading the Data Cleaning dataset, but still dropping the same duplicate observations as in Quiz 3), create a new classSize_wins variable, which is winsorized at the 5th & 95th percentiles. (Ignore missing values, i.e. if a value is missing in class_scan_1, then it should also be missing in classSize_wins).

2. Which of the following statements is true? (select all that apply)

3. What will happen if I run the command “assert class_scan_1 != .” on this dataset?