Answer:
<u>is not</u> , <u>consume more of hamburgers</u>
Explanation:
A consumer is said to have achieved equilibrium when within his budget constraint, he purchases that combination of two goods which yield maximum satisfaction to him.
The equation for consumer equilibrium for two products is given by

In the given case,
=
=
= 6.666
=
= 8
wherein, x= pizza
y= hamburger
As is evident, the marginal utility per dollar spent is greater in case of a hamburger, the consumer is not in a state of equilibrium.
Thus, he should consume more units of Hamburgers in order to maximize his utility.
<span>At the tactical level of war the combatant commanders prepare all national instruments of power for war or conflict coordination the application of all instruments of national power with the actions of force. Principles and guidance also apply when needed.</span>
Answer:
Option 3: $12 down with equal payments of $5 for 12 months
Explanation:
In option 1 :
The cost is $ 88,
In option 2 :
Down payment = $ 5,
Weekly payment = $ 8,
Number of weeks = 10,
So, the total cost = 5 + 8 × 10 = 5 + 80 = $ 85,
In option 3 :
Down payment = $ 12,
Monthly payment = $ 5,
Number of months = 12,
So, the total cost = 12 + 5 × 12 = 12 + 60 = $ 72,
In option 4 :
Down payment = $ 20,
Monthly payment = $ 20,
Number of months = 12,
So, the total cost = 12 + 20 × 12 = 12 + 240= $ 252
∵ 72 < 85 < 88 < 252
Hence, option 3 is better.
Answer:
The correct answer is $7,500
Explanation:
So, the hiring cost would be:
Hiring quater × hiring cost
= 300 × $20
= $6,000
Firing Cost would be:
Firing cost = 100 × $5
= $500
= 200 × $5
= $1,000
Therefore, the total hiring and firing cost = $6,000 + $500 + $1,000
= $7,500
Answer:
Explanation:
A Supervised learning allows you to collect data or produce a data output from the previous experience while an unsupervised learning you do not need to supervise the model.
A. Deciding whether to issue a loan to an applicant based on demographic and financial data (with reference to a database of similar data on prior customers). - Supervised learning
B. In an online bookstore, making recommendations to customers concerning additional items to buy based on the buying patterns in prior transactions. - Unsupervised learning
c. Identifying a network data packet as dangerous (virus, hacker attack) based on comparison to other packets whose threat status is known - Supervised learning
d. Identifying segments of similar customers. - Unsupervised learning
e. Predicting whether a company will go bankrupt based on comparing its financial data to those of similar bankrupt and nonbankrupt firms. - Supervised learning
f. Estimating the repair time required for an aircraft based on a trouble ticket. - supervised learning
g. Automated sorting of mail by zip code scanning. - Supervised learning
H. Printing of custom discount coupons at the conclusion of a grocery store checkout based on what you just bought and what others have bought previously - Unsupervised learning