Answer:
Replacing the values that we have:
And solving for a we got:
So then the premium value for the insurance on this case should be 1840 dollars.
Explanation:
For this case we can define the random variable X as the gain ( in thousand of dollars) of insurance company
We assume that the premium clase charge and amount of a to the company and we know from the info given that:
represent the expected gain in thousand of dollars
The expected value of a random variable X is the n-th moment about zero of a probability density function f(x) if X is continuous, or the weighted average for a discrete probability distribution, if X is discrete.
And using the definition for a discrete random variable we know that :
Replacing the values that we have:
And solving for a we got:
So then the premium value for the insurance on this case should be 1840 dollars.
Answer: $19,687 million
Explanation:
From the question, we are informed that Microsoft Corp. reported a statutory tax rate of 35% and an effective tax rate of approximately 15% and that the 2016 income statement reported income tax expense of $2,953 million.
The amount reported by Microsoft as income before income tax expense that year will be calculated as:
= 2,953 million / 15%
= $19,686.67 million
= $19,687 million
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
Answer:
U.S. dollars = 14.012 U.S. dollars
Explanation:
Below is the exchange rate:
0.92777 Canadian dollars = 1 U.S dollars
Thus to find the amount of U.S. dollars bought from the 13 Canadian dollars, just divide the 13 Canadian dollars from 0.92777. Therefore the resulting answer will be the U.S. dollars.
U.S. dollars = 13 / 0.92777
U.S. dollars = 14.012 U.S. dollars
The longer the period of time the higher the interest rate
