Answer:
total interest paid = $123,370
Explanation:
given data
loan = $65,000
factor = 8.05 per $1,000
time = 30 year = 30 year × 12 months = 36 months
rate = 9% = 0.09
solution
first we get here payments on principal and interest for factor 8.05 per $1,000 will be
payments on principal and interest = $65 × 8.05
payments on principal and interest = $523.25 per month
payments on principal and interest = 523.25 × 360 months
payments on principal and interest = $188,370
so total interest paid will be
total interest paid = $188,370 - $65,000
total interest paid = $123,370
An account with a financial institution used to pay taxes and insurance is called An escrow account.
Answer is An escrow account
When someone is hurt because
of another person's or entity's carelessness or negligence, he or she can recuperate economic and
noneconomic damages that flow from the negligence. He or she will
also have to show duty, breach of duty, and damages. The actual case is called
cause in fact. However, if the defendant's behavior created the cause in
fact<span>, the defendant may
be liable for negligence.</span>
Answer:
19.05%
Explanation:
the approximate yield to maturity (YTM) formula is:
approximate YTM = {C + [(FV - PV) / n]} / [(FV + PV) / 2]
- C = coupon payment = $130
- FV = face value or value at maturity = $1,000
- PV = present value or current market value = $690
- n = 10 years
approximate YTM = {$130 + [($1,000 - $690) / 10]} / [($1,000 + $690) / 2] = ($130 + $31) / $845 = $161 / $845 = 0.1905 or 19.05%
Answer:
c. Neural networks
Explanation:
While other options are considered as descriptive analysis techniques, neural network is a type of inferential statistics.
While descriptive statistics only describes data by using a chart or graph, and inferential statistics assist in drawing inferences or making predictions from data.
A neural network refers to a series of algorithms which studies the types of relationships, either positive or negative, that exist between a set of data via process that copies method of operation of human brain. Neural network can assist in inferring the effect that a change a set of data A, independent variable, will have on the a set of data B, dependent variable.
The idea of neural network comes from artificial intelligence and it helps in generating the best results that is obtainable without changing the criteria of the output.
