Answer:
The correct answer is d) Controls
The goal of Control in an organization is making sure that the company's procedures meet the required criteria of a particular standard. A company needs to have accounting standards, production standards, and management standards, and it is through control processes that those standards are met.
Answer:
Contribution per unit
= Selling price - Variable cost per unit
= $27 -$13
= $14
Contribution margin ratio
= Contribution per unit
selling price
= $14
$27
= 0.518518518
Break-even point in dollars
= $1,400
0.518518518
= $2,700
Explanation:
Break-even point in dollars equals fixed cost divided by contribution margin ratio. Contribution margin ratio is equal to contribution per unit divided by selling price. Contribution per unit is selling price minus variable cost per unit.
Answer:
D) Expected purchase price of each product.
Explanation:
According to my research a "Sales Budget" is a companies estimation of sales for any given financial period of the year. This being the case we can say that the item that is NOT needed would be the expected purchase price of each product. This is because they already have the overall expenses for that period, and in a sales budget they just need to calculate the selling price and units expected to sell in order to estimate the profit.
I hope this answered your question. If you have any more questions feel free to ask away at Brainly.
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
