Which of the following statement(s) is/are not true?
A. Analysis of variance is helpful for test three or more variables
B. ANOVA leads to fewer errors
C. ANOVA is based on emphrical evidences
D. All statements are false
Answer: Option C
A. Analysis of variance is helpful for test three or more variables
B. ANOVA leads to fewer errors
C. ANOVA is based on emphrical evidences
D. All statements are false
Answer: Option C
A. The central limit theorem
B. The law of statistical regularly
C. The law of inertia of large numbers
D. None of the above
The difference between sample statistic and its corresponding population parameter is
A. Sampling error
B. Measurement error
C. Coverage error
D. Non-response error
A. Both (A) and (R) are true
B. (A) is true, but (R) is false
C. (A) is false, but (R) is true
D. Both (A) and (R) are false
Join The Discussion