Clients rarely cut ecommerce expenditure. a. true b. false

Answer:

Using Total Cost Analysis, it will be more cost-effective to use;

b. Supplier B

Explanation:

Total cost of ownership (TCO) can be defined as the total cost of an asset including the purchase cost and cost of operation of the asset. Assessing the TCO takes a bigger picture analysis of the overall cost of an asset. Most people usually don't consider the operating costs of an asset. This can prove detrimental in the long run when one starts going through unaccounted operation expenses. Unforeseen expenditure can lead to poor credit scores since one did not prepare for them.

When buying an asset, it is imperative to consider the sort-term and long-term costs. The short-term costs are the immediate costs that are often clearly identified in the initial stages. The short-term costs are purchase and transportation costs. The long-term costs are costs that will be incurred with time, over the life of an asset. Examples of long-term costs are; depreciation costs and  operations costs.

In our case above, the best option would be Supplier B since it's total cost of ownership is cheaper compared to Supplier A and Supplier C.

Answer: Fair and Accurate Credit Transaction Act

Explanation:

From the question, we are informed that Mortgage loan originator Carol is in a hurry to leave on her vacation, and she leaves a customer's file that contains his Social Security number and bank account numbers on her desk.

Carol is violating the Fair and Accurate Credit Transaction Act. The Act was put in place to detect and also hinder Identity theft.

Answer:

c

Explanation:

hope my answer helped I did some real research

Answer:

0.148993

Explanation:

Given parameters:

An advertising agency notices that approximately 1 in 50 potential buyers of a product sees a given magazine ad

Let the Probability that the agency notice the buyer of a product sees a given magazine ad be: P (G)

P (G) = 1 in 50

=

= 0.02

P (G) = 0.02

From the question, it continues by saying " and 1 in 5 sees a corresponding ad on television."

i.e Let the Probability  that the agency notice the buyer of a product see the  given ad on televison be: P(H)

P(H)  = 1 in 5

=

= 0.2

P(H)  = 0.2

Let P(I) represent "One in 3 actually purchases the product after seeing the ad"

P(I) =

P(I) = 0.3333

Let P(J) represent the potential buyer that purchase the product without seeing the ad which is "1 in 10 without seeing it"

P(J) =

P(J) = 0.1

We are asked to find, the probability that a randomly selected potential customer will purchase the product?

To to that we need to determine first, the probability that the buyer sees the ad of the product both on television and on magazine; as well as the probability that the buyer does not see the ad of the product both on television and on magazine.

Let's take it one after the other;

the probability that the buyer sees the ad of the product both on television and on magazine =

P ( GUH)

Using addition rule;

P ( GUH) = P(G) + P(H) - P(G∩H)

P ( GUH) = 0.02 + 0.2 - 0.01

P ( GUH) = 0.21

the probability that the buyer does not see the ad of the product both on television and on magazine =

P ( GUH)' = 1 - P(GUH)       ------ By applying DeMorgan's Rule

P ( GUH)' = 1 - 0.21

P ( GUH)' = 0.79

∴   the probability that a randomly selected potential customer will purchase the product = P(I) P(GUH) + P(J) P(GUH)'

= (0.3333)(0.21) + (0.1) (0.79)

= 0.069993 + 0.079

= 0.148993

Hence, the probability that a randomly selected potential customer will purchase the product = 0.148993