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Post a response based on the following scenarios: Scenario 1: Data set has a lot of missing values Scenario 2: Data entry person made a

Post a response based on the following scenarios:

  • Scenario 1: Data set has a lot of missing values
  • Scenario 2: Data entry person made a lot of mistakes (Example: Weight 12 lbs. versus 120 lbs. because the zero was omitted by mistake.)
  • Scenario 3: You receive an error message because SPSS can't read words; it needs numerical data only.

Based on these scenarios, post a response for how you might respond to each:

  • What is a potential problem if the data errors are not corrected? What is the problem with each of the scenarios, and what does it do to the data set and the results?
  • What is a potential solution for dealing with these missing or absurd values in the scenarios presented?
  • What do we do when multiple solutions can be applied to missing or absurd values?

Note: Ensure that you respond to each question for each different scenario.

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Scenario 1 Data set has a lot of missing values Potential Problem if Data Errors Are Not Corrected Missing values can lead to biased or misleading results because certain patterns may be underrepresen... blur-text-image

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