You can always tell if your data are autocorrelated by visual inspection.
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Q9: When you attain statistical significance without clear
Q10: An autocorrelation of .2 will inflate the
Q11: If you measure how many hours you
Q12: The statement, "The change was statistically significant
Q13: The term "analysis" is used in the
Q15: If your data are auto-correlated, you could:
A)
Q16: The first differences transformation plots the means
Q17: If you measured how many hours you
Q18: If you see a notation that some
Q19: If you were able to show statistical
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