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NEW QUESTION: 1
An insurance agent has appointments with four prospective clients tomorrow. From past experience the agent knows that the probability of making a sale on any appointment is 1 out of 5. Using the rules of probability, what is the likelihood that the agent will sell a policy to 3 of the 4 prospective clients?
A. 0.250
B. 0.410
C. 0.026
Answer: C
Explanation:
This is a binomial probability. The probability of getting r successes out of n trials where the probability of success each trial is p and probability of failure each trial is q (where q = 1-p) is given by:
r (n-r) 3 1
n!(p )[q ]/r!(n-r)!. Here n = 4, r = 3,p = 0.20 and q = 0.80. Therefore we have 4!(0.2 )(0.8 )/3!1! = 0.026.
NEW QUESTION: 2
A. Option A
B. Option C
C. Option D
D. Option B
Answer: A
NEW QUESTION: 3
What happens when you send a Responsys campaign and the ISP returns a "Hard Bounce" error to the
sender?
A. A hard bounce of an email message will cause the record to be flagged as Hard Bounced in an Insight
Report, and you can run a list cleanse process to remove it from your list.
B. A hard bounce of an email message will delete the contact record from the Profile List to ensure that
messages will no longer be sent to that address.
C. A hard bounce of an email message will cause the record to be logged in to the Hard Bounced table,
and you must select that list as a suppression list in future message launches to ensure that you do not
send to that address again.
D. A hard bounce of an email message will set the EMAIL_DELIVERABILITY_ STATUS_ field to
Undeliverable and messages will no longer be sent to that address.
Answer: B