Data Processing

Learning Outcomes

Prepare the data (such as editing, coding and data entry) for statistical analysis
Handle the missing data by using the appropriate method
Detect outliers in data
Make the right choice of data analysis with the given scale of measurement, the research design and assumptions about the test statistics
Analyze simple tabulation and cross-tabulation

Before we get started

Ask the followings:

What objectives were we trying to accomplish when we created a survey?
Did our survey instrument meet those objectives?
Is the data we collected the right data?
Do we have sufficient data to properly reach a conclusion?

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