Answer:
1) Athena and Aries
2)Tamil/Sanskrit
3) Plato and Euclid
4) Solar energy Wind energy
5)Ruby, emerald
6)Python, Rattlesnake
7)8)9)i have no idea
Explanation:
Answer:
7.32%
Explanation:
<em>The price of a bond is the present of its interest payment and the present value of redemption value (RV</em>
Present value of the Redemption Value (RV) =
FV× (1+r/2)^(-2×n)
FV- 2000, r- yield rate, r/2= 6.74%/2 = 3.37%, n-22
=2000× (1.0337)^(-2×22)
= 465.233
Present Value of the coupon payment =Price of bond - PV of RV
= (106.657% × 2000) - 465.233
= $1667.90
PV of coupon payment= A × (1-(1+r)^(-2×n)
A- semiannual coupon payment, r -yield
1667.90 = A × (1-(1.0337)^(-2*22))/0.0337
1,667.90 = A × 22.7710
A = 1,667.90/22.7710
A= 73.246
Annual coupon payment = 2× 73.246= 146.493
Annual coupon rate = coupon payment/ face value
= (146.493/2,000 )× 100
= 7.32%
Answer and Explanation:
The adjusting entries are shown below:
a. Salaries expense Dr $1,400
To Salaries payable $1,400
(being salaries expense is recorded)
b. Interest expense ($40,000 × 12% × 1 ÷12) $400
To interest payable $400
(being interest expense is recorded)
c. Account receivable Dr $3,000
To Service revenue $3,000
(being revenue is recorded)
These 3 entries should be recorded
Answer:
The correct answer is A.
Explanation:
Giving the following information:
Standard cost= 6.90 per ounce
Standard quantity= 4.8 ounces per unit
Actual output 2,100units
Actual price of raw materials $7.80 per ounce
Actual cost of raw materials purchased $81,900
Raw materials used in production 10,090 ounces.
Direct material price variance= (standard price - actual price)*actual quantity
Direct material price variance= (6.9 - 7.8)*10,090= $9,081 unfavorable
<span>The only way to establish a cause-and-effect relationship between two variables is to conduct an experiment.
First we state a hypothesis and then we make the experiment. The experiment should </span>support, refute, or validate our hypothesis. It is done by making<span> changes in one variable and observing is that might </span>lead to<span> changes in another variable (cause-and-effect).</span>