I have a tough dilemma between A,B,E but my feeling from knowledge is leaning towards E
Answer:
The correct answer is B) it eliminates all the unpopular items for the analysis to save time (and computing power).
Explanation:
Taking into account that the analysis of the association rule takes into account a group of products that are sold for being complementary or that are sold from the purchase of others without being complementary, in a retail business it will be relevant to consider the popularity of products to determine behavior or pattern. In this sense, the "a priori" algorithm determines a previous situation that is not taken into account to study similar behaviors between products.
Answer: 20,816.215
Explanation:
Given that:
A deposit of $1000 at 4% interest compounding is defined by the growth function:
v(t) = 1000e^0.04t
Where t = number of years.
Find the average value during the first 40 years (that is, from time 0 to time 40.)
(That is t = 0,...,40)
For ease, we can use a python list comprehension to get our values.
v = [1000*2.7182818**0.04*t for t in range(41)]
V gives a list of the value of the deposit from year 0 till 40 years after the deposit.
Average = sum of compounding deposits / number of years
Sum of compounding deposits = sum(v) = $853464.8344
Number of years = len(v) = 41
Hence, average = $853464.8344 / 41
Average = $20,816.215
Answer: The correct answer is "a. decisions under risk.".
Explanation: The decision situations wherein the decision-maker chooses to consider several possible outcomes and the probabilities of their occurrence can be stated are called <u>decisions under risk.</u>
Decision-making under risk is one of the three possible decision-making scenarios based on the available information, this scenario presents an intermediate situation between decision-making under certainty or under uncertainty: each alternative, strategy or course of action has several possible consequences, but the person in charge of making the decision knows the probability of each of them.