Answer:
Debit Cash account $50,000
Credit Ordinary share $5,000
Credit Share Premium $45,000
Explanation:
When share issued are paid for at an amount above the par or ordinary value, the excess paid is known as share premium.
The share premium like the par or ordinary value is recognized in the balance sheet as a part of the owners equity.
For a stock unit at par value of $1 for which the issue price was $10,
the share premium per unit
= $10 - $1
= $9
Ordinary share value = $1 × 5000 = $5,000
Share premium amount = $9 × 5,000 = $45,000
Deficit is the difference between what the government spends and what it takes in. National debt is the result of government borrowing money to cover years of deficits
<h2>Answer</h2>
D) Customer demand for the product
<h3>Explanation</h3>
For a business opportunity to prosper and grow ahead, it is imperative that the offered product or service has actual demand present. If the demand is present, the sales will be automatically achieved. This will result in higher sales and therefore more generation of profits in the future. Without optimal demand present in the economy, it is not worth putting time and efforts in a business.
Answer:
D. Ingestion
Explanation:
Absorption seems like something you would get through the skin. Injection it gets put into your body by a needle. Inhalation is through the nose. Ingestion you swallow.
Answer:
a) H0: u = presence of a unit root
HA: u ≠ presence of a unit root ( i.e. stationary series )
b) t stat = -0.064
c) We will reject the Null hypothesis and the next step will be to accept the alternative hypothesis
d) It is not valid to compare the estimated t stat with the corresponding critical value because a random walk is non-stationary while the difference is stationary because it is white noise
Explanation:
<u>a) stating the null and alternative hypothesis</u>
H0: u = presence of a unit root
HA: u ≠ presence of a unit root ( i.e. stationary series )
<u>b) performing the test </u>
critical value = -2.88
T stat = coefficient / std error
= -0.02 / 0.31 = -0.064
c) From the test, the value of T stat > critical value we will reject the Null hypothesis hence the next step will be to accept the alternative hypothesis
d) It is not valid to compare the estimated t stat with the corresponding critical value because a random walk is non-stationary while the difference is stationary because it is white noise