Answer:
$1,312.50
Explanation:
Calculation for How much was the referring agent paid
First step is to find the buyer agent amount by using the buyer's agent percentage to multiply the buyer purchased amount of the home
Using this formula
Buyer agent amount =Buyer's agent percentage× Home purchased amount
Let plug in the formula
Buyer agent amount=1.5%×$350,000
Buyer agent amount=$5,250
The last step is to find How much was the referring agent paid
Using this formula
Amount referring agent paid =Buyer agent amount× Percentage of buyer side commission
Let plug in the formula
Amount referring agent paid=$5,250×25%
Amount referring agent paid=$1,312.50
Therefore the amount that the referring agent paid will be $1,312.50
Answer:
Workplace discrimination
Explanation:
Workplace discrimination is when someone is not treated well at work because of prejudices related to race, gender, religion, sexuality, among others. According to this, the answer is that workplace discrimination occurs when people are hired or promoted, or denied hiring or promotion, for reasons not relevant to the job because the person is treated differently because of prejudices.
Answer:
$17,350
Explanation:
Calculation to determine the amount of cash to report in the balance sheet.
Currency located at the company $950
Add Short-term investments that mature within three months 1,850
Add Balance in savings account 8,100
Add Checks received from customers but not yet deposited 550
Add Coins located at the company 100
Add Balance in checking account 5,800
Total Cash $17,350
Therefore the amount of cash to report in the balance sheet is $17,350
Answer:
Exception reporting
Explanation:
Which capability of digital dashboards enables users to have reports that highlight deviations larger than certain thresholds?
Drill down
Key performance indicators
Status access
Trend analysis
Exception reporting
Dashboard reporting is a process used to represent key performance indicators and relevant business data in a visual and interactive way and Exception reporting is a method of data analysis that compares an incoming stream of data to an established base set of data and flags items that don't quite match i.e,those instances in which actual performance deviated significantly from expectations and it enables users to have reports that highlight deviations larger than certain thresholds.
