The use of continuous communication, can promote the BakerStone mission statement because one can Communicate vital information to keep stakeholders always aware of BakerStone policies as well as actions.
<h3>How can the use of modeling promote the BakerStone mission statement?</h3>
The use of modeling can promote the BakerStone mission statement as all their effort as well as input will be channeled towards achieving their mission statement.
Hence, The use of continuous communication, can promote the BakerStone mission statement because one can Communicate vital information to keep stakeholders always aware of BakerStone policies as well as actions.
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<u>Answer:</u>
<em>Purchased items or extracted materials that will be transformed into components or products are called (</em><u><em>A) Raw materials inventory
</em></u>
<u>Explanation:</u>
Raw materials inventory is the complete expense of all segment parts at present in stock, which is not in use, therefore, a continuous process or completed stock creation. There are two subcategories of crude materials, which are direct materials. These are materials fused into the last item.
Raw materials may at times be announced out of date, perhaps because they are never again utilized in organization items, or because they have debased while away, thus can never still be used
An excise tax is a <span>federal and/or state tax on specific goods like gasoline, tires, airfare, or cigarettes. Excise taxes are most always included in the price of the product.</span>
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
