Why is it a good idea to explore your data using EDA techniques before you conduct any statistical tests?
A) They help spot serious defects in your data that may warrant taking corrective action before you proceed to the inferential analysis.
B) They can help you determine which summary statistics would be appropriate for a given set of data.
C) They may reveal unsuspected influences.
D) All of the answers are correct.
Correct Answer:
Verified
Q1: The search for patterns in your data
Q3: If categories are represented by numbers (e.g.,
Q4: Identify a true statement about an unstacked
Q5: Which of the following is a disadvantage
Q6: Dummy coding involves:
A) assignment of numbers to
Q7: For quantitative data (e.g., the number of
Q8: When coding dependent variables, you should not
Q9: After entering data, _.
A) you need not
Q10: A limitation of using grouped data is
Q11: Examining individual data shows how each subject
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