So lets say we have two investment opportunities. A new convenient store in your neighborhood or a new shopping center more than 5 miles away from where you live... What would you invest in well lets look at the pros and cons of each investment. So even though the new convenient store is right around the corner from you and prices are low the new shopping center has better products, warranty and higher prices unlike the convenient store closer to you. So we have an investment budget of $1000 dollars and want to spend it wisely we need to access what has a better chance of being successful with what you put into it. So the convenient store will reach less people has a bargain price but also doesn't have security cameras. Even though the shopping center has great employees, top-of-the-line products, high security, and a great establishment but also has flaws. What are you gonna invest in, will you take risks? My personal opinion is that I would invest in the shopping center because more people would be attracted to it because of the quality of service and products. So it would have a better probability in success and good use of my money.
Answer:
$3,000
Explanation:
Calculation to determine How much bad debts expense will Beautiful Lawns report in 2016
Using this formula
Bad debts expense=Estimated doubtful accounts -Allowance for Doubtful Accounts credit balance
Let plug in the formula
Bad debts expense=$3,600-$600
Bad debts expense=$3,000
Therefore The amount of bad debts expense that Beautiful Lawns will report in 2016 is $3,000
Answer:
Net profit is more important to consider because it accounts for all the costs associated with making and selling the product and it includes the operating expenses that are excluded from gross profit. Gross profit is the profit made after deducting costs associated with making and selling its products, or the costs associated with providing its services.
Answer:
B) data mining
Explanation:
Data Mining refers to the process of discovering patterns in large data sets using techniques like machine learning, statistics or database systems. The company uses this process to turn raw data into useful information for marketing , sales or cost management.
