What is the common situation in which we would use simulation methods to analyze our data?
A) For normally distributed data values
B) For small sample sizes
C) When the data violates the assumptions of all the standard tests
D) When the estimated population parameter differs greatly from the sample statistic
Correct Answer:
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Q1: In general, simulations are used to create
Q2: The null distribution is best described as
Q4: When doing a simulation, after you assume
Q5: Bootstrapping involves sampling the original data set
Q6: When deciding if we can use the
Q7: The bootstrapping procedure is used to approximate
Q8: To generate a bootstrap standard error of
Q9: To generate a bootstrap standard error of
Q10: To generate a bootstrap standard error of
Q11: When doing a bootstrap, if we use
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