A difference between parametric statistical methods (e.g., Anova) and nonparametric statistical methods, is that parametric methods a. always produce reliable results b. require many passes through the data c. involve resampling from the data d. have assumptions the data should meet e. operate on the ranks of the data f. are more mathematically rigorous g. operate at lower statistical power h. none of the above
A difference between parametric statistical methods (e.g., Anova) and nonparametric statistical methods, is that parametric methods a. always produce reliable results b. require many passes through the data c. involve resampling from the data d. have assumptions the data should meet e. operate on the ranks of the data f. are more mathematically rigorous g. operate at lower statistical power h. none of the above
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 5E
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A difference between parametric statistical methods (e.g., Anova)
and nonparametric statistical methods, is that parametric methods
a. always produce reliable results b. require many passes through the data
c. involve resampling from the data d. have assumptions the data should meet
e. operate on the ranks of the data f. are more mathematically rigorous
g. operate at lower statistical power
h. none of the above
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