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NEW QUESTION: 1
Which of the following statements is not true when it comes to conducting hypothesis tests for differences between population means and mean differences (paired comparison tests)?
A. When conducting a test for the difference between the means of two populations which are independent, an assumption must be made as to whether the population variances are equal or not.
B. It is possible to conduct these types of tests even if the underlying populations are not normally distributed.
C. A paired comparison test must use n-1 degrees of freedom, where n equals the number of paired observations.
Answer: B
Explanation:
When conducting hypothesis tests for differences between population means and mean differences (paired comparison tests), it is imperative that the underlying populations be normally distributed.

NEW QUESTION: 2
An full factorial experiment has three factors. Each factor has three levels. The number of test combinations or runs is:
A. 0
B. 1
C. 2
D. 3
E. 4
Answer: D

NEW QUESTION: 3

A. Option B
B. Option C
C. Option A
D. Option D
Answer: C
Explanation:
Integrity for data means that changes made to data are done only by authorized individuals/systems.
Corruption of data is a failure to maintain data integrity.
Source: Cisco Official Certification Guide, Confidentiality, Integrity, and Availability, p.6