A dataset has 1000 records and 50 variables with 5% of the values missing, spread randomly throughout the records and variables. an analyst decides to remove records that have missing values. about how many records would you expect would be removed?

Question

Winston Walton

Mathematics

7 February, 15:17

A dataset has 1000 records and 50 variables with 5% of the values missing, spread randomly throughout the records and variables. an analyst decides to remove records that have missing values. about how many records would you expect would be removed?

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Answers (1)

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Weston Bradshaw · Answer 1

Answer: 50

Explanation:

Since 5% of the values are missing, the expected number of records to be removed is interpreted as the expected value of the records to be removed whose probability of having missing values is 0.05.

Hence, the number of records that are expected to be removed is given by

Expected Value = (number of records) (probability of having a missing value)

= (1000) (0.05)

Expected Value = 50