Identifying Missing Completely At Random Data
Which of the following represents a valid approach to determine if incomplete data in a dataset is Missing Completely At Random (MCAR)?
A
Compare distributions between complete and incomplete cases
B
Assume all missing data follows the same pattern
C
Check if the dataset size exceeds 1000 records
D
Verify that exactly 5% of values are missing
Question Leaderboard
| Rank | |||||
|---|---|---|---|---|---|
| #1 | gbemisolaoshakuade | 1 | 1 | 0m 00s | 100 |
| #2 | tianbo.shen | 1 | 1 | 0m 13s | 87 |
| #3 | spiritgen02 | 1 | 1 | 0m 24s | 76 |
| #4 | hxuna0217 | 1 | 1 | 0m 29s | 71 |
| #5 | my.emma.mei | 1 | 1 | 0m 30s | 70 |
| #6 | jasonvikathompson | 1 | 2 | 1m 14s | 16 |
| #7 | basel.coder | 1 | 1 | 48m 56s | -2,836 |
Items per page:
10
1 – 7 of 7
APFIVE