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Keep Missing Measurements Separate from Zero - Practice 2

Missing is not zero.

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Missing is not zero. A mean calculated only from observed locations describes that observed subset and can be biased for the whole region if missingness is selective. These fictional records give equally weighted observed values.

Worked example

Two observed values 10 and 20, plus one missing value, give an observed-only mean of 15, not 10. The full-region mean is unknown.

Two observed values 10 and 20, plus one missing value, give an observed-only mean of 15, not 10. The full-region mean is unknown.
Two observed values 10 and 20, plus one missing value, give an observed-only mean of 15, not 10. The full-region mean is unknown.
Question 1 Fictional locations 6: values 20, 30, and missing. What is the mean of the two observed values only?
Question 2 Fictional locations 7: values 22, 32, and missing. What is the mean of the two observed values only?
Question 3 Fictional locations 8: values 24, 34, and missing. What is the mean of the two observed values only?
Question 4 Fictional locations 9: values 26, 36, and missing. What is the mean of the two observed values only?
Question 5 Fictional locations 10: values 28, 38, and missing. What is the mean of the two observed values only?