It can be noted that when the addition of more features to an existing product overwhelm the customers, it is known as feature fatigue.
<h3>What is feature fatigue?</h3>
Feature fatigue simply means when consumers shy away from products that appear to be rich in features.
This occurs ehen a company continually adds more features to an existing product to try to appeal to more customers may end up overwhelming customers and create an unintended consequence.
Learn more about fatigue on:
brainly.com/question/948124
Answer:
Intensive.
Explanation:
In this scenario, Mike is driving over to his girlfriend's apartment and decides to buy some gum. He could stop in a gas station, go to any grocery store, go to any discount store, or even buy some out of a vending machine. The reason Mike has so many options to buy gum is because chewing gum companies strive for intensive channel coverage.
An intensive channel coverage is a sales method which is typically focused on providing varieties of sales outlets or channels for customers to buy their desired products.
Companies operating under the intensive channel coverage, are usually aimed at saturating the market with their products, by using all available sales outlets.
<em>Hence, Mike had so many outlets where he could buy gum from because chewing gum companies strive for intensive channel coverage in order to reach out to potential customers. Other examples of companies that use the intensive coverage channel are cigarette, beer etc. </em>
<span>When a company is using double-entry accounting, the elements of a given ledger that must be equal are the debit and the credit. They should reflect the balance of the books. There should be an equal amount in the debit column and in the credit column.</span>
Answer:
And we can find this probability using the normal standard distribution table or excel and we got:
Explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the expected return, and for this case we know the distribution for X is given by:
Where 
and 
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the normal standard distribution table or excel and we got:
