Answer:
D. $11,843.37
Explanation:
We will adjust by inflation the principal, and then calculate the interest.
Inflation is 0.025 every six month, and it is compounding interest.
Our rate will be for six month as well. Because TIPs pay interest semianually as well.
11,843.36903
Answer:
Ans. your monthly payment, for 30 years is $9,257.51 if you buy a property worth $1,000,000 and you make a down payment of $100,000
Explanation:
Hi, first we have to change the fixed rate in terms of an effective monthly rate, which is 1% effective monthly (12% nominal interest/12 =1% effective monthly). After that, take into account that the property is going to be paid in 30 years, but since the payments are going to be made in a montlhly basis, we have to turn years into months (30 years * 12 = 360 months).
After all that is done, all we have to do is to solve the following equiation for "A".
Where:
A= Annuity or monthly payment
r= Rate (effective monthly, in our case)
n= Periods to pay (360 months)
Everything should look like this.
Best of luck.
Answer:
Bachelor's degree in business management
Explanation:
Computer science and mathematics could help her while running the bakery, but won't be the most beneficial. Elementary education wouldn't really be at all helpful when running a business.
Sophia wants to run her own bakery, which is a business. Therefore, a bachelor's degree in business management will be the most helpful for Sophia.
The condition for a profit maximising point is where MR = MC.
When MR is greater than MC, the firm should increase production to take hold of the extra profit, therefore Mara should increase production.
Answer:
Supervised and Unsupervised Learning:
a. Unsupervised learning
b. Supervised learning
3. Supervised learning
4. Unsupervised learning
Explanation:
The key difference between supervised machine learning and unsupervised machine learning is that with supervised machine learning there is a training dataset (labeled data) on which the algorithm is trained to predict patterns. With unsupervised machine learning on the other hand, there is no training data. So, the algorithm discovers patterns on itself without reference to another labeled data or training dataset.
