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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. A paired comparison test must use n-1 degrees of freedom, where n equals the number of paired observations.
B. It is possible to conduct these types of tests even if the underlying populations are not normally distributed.
C. 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.
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: B

NEW QUESTION: 3

A. Option A
B. Option B
C. Option D
D. Option C
Answer: A
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