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NEW QUESTION: 1
A. Option A
B. Option B
C. Option C
D. Option E
E. Option D
Answer: B,D
NEW QUESTION: 2
When implementing secure PCI wireless networks, which two options are specific recommendations in the PCI DSS? (Choose two.)
A. Use a minimum 12-character random passphrase with WPA.
B. Implement strong wireless authentication.
C. Change default settings.
D. Use VLAN based segmentation with MAC filters.
E. Segment logging events with other networking devices within the organization.
Answer: B,C
NEW QUESTION: 3
What is the difference between the IPv6 addresses ::/0 and ::/128? Choose the best response.
A. ::/0 is the unicast address, and ::/128 is the multicast address.
B. ::/0 is the unspecified address, and ::/128 is the multicast address.
C. ::/0 is the anycast address, and ::/128 is the multicast address.
D. ::/0 is the default route, and ::/128 is the unspecified address.
E. ::/0 is the anycast address, and ::/128 is the default address.
F. ::/0 is the unicast address, and ::/128 is the anycast address.
Answer: D
NEW QUESTION: 4
Consider the following statements:
I). The t distribution is a symmetrical probability distribution defined by a single parameter known as the degrees of freedom.
II). When sample size is small and population variance is not known, the t distribution is used.
III). The use of a t reliability factor is appropriate when the population variance is unknown but we have a large sample and can rely on the central limit theorem to ensure approximate normality of the distribution of the sample mean.
Which is true?
A. I and III.
B. I and II.
C. I, II and III.
Answer: A
Explanation:
Some facts about the t-distribution are:
The t distribution is a symmetrical probability distribution defined by a single parameter known as
*
the degrees of freedom.
When sample size is small and population variance is not known, the t distribution is used if the
*
population is normally distributed (this is unknown in the question).
The use of a t reliability factor is appropriate when the population variance is unknown but we
*
have a large sample and can rely on the central limit theorem to ensure approximate normality of the distribution of the sample mean
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