<h2><u>arise when there are disagreements over their goals, methods or needs of the team. </u></h2>
- <u>So </u><u>w</u><u>hen </u><u>the </u><u>conflicts </u><u>are </u><u>in </u><u>between </u><u>the </u><u>team </u><u>members </u><u>they</u><u> arise, addressing these disagreements and coming to a mutual </u><u>understanding </u><u>it </u><u> allows everyone to collaborate harmoniously and productively.</u>
<h2><u>hope</u><u> it</u><u> helps</u></h2>
by automatically generating shipping forms
Answer:
Quantity of oil bought & sold would depend upon relative change i.e increase & decrease in demand & supply respectively.
- ↑Dd = ↓Sy : Qty same
- ↑Dd > ↓Sy : Qty ↑
- ↑Dd < ↓Sy : Qty ↓
Explanation:
Libya is an exporter of Oil to China. It implies china's demand for oil is satisfied by Libya's imports.
Usual markets are at equilibrium when market demand = market supply, demand & supply curves intersect.
Political unrest in Libya decreasing oil production, would decrease supply (exported) of oil to China & sift supply curve leftwards. Simultaneously, increase in China demand for oil would shift the demand curve rightwards. These changes in demand, supply would create excess demand. Excess demand would cause competition among buyers & increase the new equilibrium price.
However, <u>Quantity </u>of oil bought & sold would depend upon relative change , shift in demand & supply. If increase in demand is equal to decrease in supply, the quantity would remain<u> same.</u> If increase in demand is more than decrease in supply, quantity will <u>increase</u>. If increase in demand is less than decrease in supply, the quantity will <u>decrease.</u>
Answer:
The answer is: A) 0.6
Explanation:
First we will calculate the midpoint for units:
- change in units = 40 - 60 = -20
- average units = (40 + 60) / 2 = 50
- midpoint for units = 20 / 50 = 0.4 (we only use positive numbers)
Now we will calculate the midpoint for price:
- change in price = 40 - 20 = 20
- average price = (40 + 20) / 2 = 30
- midpoint for units = 20 / 30 = 0.67
Finally we divide 0.4 / 0.67 = 0.6
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