Answer:
+$183,000
$0
+$183,000
Explanation:
Total assets increased by ($298,000 - $115,000) $183,000.
Total liabilities has no change
Total shareholder equity increased by ($298,000 - $115,000) $183,000.
Answer:
$5,354,741
Explanation:
assets:
cash $3,290,558
inventory $2,657,360
accounts receivable $577,102
fixed assets $4,019,047
total assets = $10,544,067
liabilities:
accruals $576,944
accounts payable $2,519,541
notes payable $610,904
long-term debt $1,481,937
total liabilities = $5,189,326
equity = assets - liabilities = $10,544,067 - $5,189,326 = $5,354,741
Answer:
Value of the bond = $862.013
Explanation:
The value of the bond is the present value of the future cash receipts expected from the bond. The value is equal to present values of interest payment and the redemption value (RV).
Value of Bond = PV of interest + PV of RV
The value of the bond can be worked out as follows:
Step 1
<em>Calculate the PV of Interest payment
</em>
Present value of the interest payment
PV = Interest payment × (1- (1+r)^(-n))/r
Interest payment = $40
PV = 40 × (1 - (1.05)^(-12×2)/0.05)
= 40 × 13.7986
= 551.945
Step 2
<em>PV of redemption Value
</em>
PV of RV = RV × (1+r)^(-n)
= 1000 × (1.05)^(-12×2)
= 310.067
Step 3
<em>Calculate Value of the bond </em>
= 551.94567 + 310.067
=862.01
Value of the bond = $862.013
Answer:
Before the listing agreement is signed.
Explanation:
A listing agreement is a contract between a property owner and a real estate broker asking the real estate broker to get a buyer for his or her property. The property owner implements the listing agreement so as to empower the real estate broker to act in the capacity of the agent to the owner in the course of trying to sell the property. Generally certain commission is paid to the real estate broker by the property owner.
Alpha level is a probability value that is used to define the concept of "very unlikely" in a hypothesis. This value determines he boundaries for the critical region, which is composed of the extreme sample values that are very unlikely to be obtained if the null hypothesis is true. Type I error is <span>when a researcher rejects a true null hypothesis.</span>
The relationship between the alpha level, the size of the critical region, and the risk of a type i error is the following: when the alpha level increases, the critical region increases and type I error increases.
