Answer:
0.0084
Explanation:
For this probability problem, we will have to make use of the normal probability distribution table.
to use the table, we will have to compute a certain value
z = (x- mean) /Standard deviation
z = = 2.39
Probability he has worked in the store for over 10 years can be obtained by taking the z value of 2.39 to the normal probability distribution table to read off the values.
<em>To do this, on the "z" column, we scan down the value 2.3. we then trace that row until we reach the value under the ".09" column. </em>
This gives us 0.99916
Thus we have P (Z < 2.39) = 0.9916
We subtract the value obtained from the table from 1 to get the probability required.
1 - 0.9916 = 0.0084
The Probability that the employee has worked at the store for over 10 years = 0.0084
The answer is D) are on the "but side" of Wall Street.
Just read the text. I'm 100% sure. Text below.
Answer:
d. beta did a better job of explaining the returns than standard deviation
Explanation:
Beta measures the systemic risk associated with the particular investment, it do not compute the total risk associated, which is more logical.
Standard deviation computes the total risk associated.
Some risk is natural, like the risk of floods, natural calamities, earthquake, etc:
That risk shall not counted as for comparison as that is associated universally. Further, the risk associated with particular factors like bankruptcy of a company, or some legal case issue of a company are precisely described by beta coefficient.
Thus, beta provides better details about explaining the returns.
Answer:
A. supply curve shifts to the left
Explanation:
An increase in the prices of inputs from $4 to $6 shows economic problems that include a reduction in capital stock, labor, and an increased unemployment rate. This can also give room for inflation.
This increase shows that due to shortage in labor supply, it now costs more to produce a product.
Due to all the above mentioned reasons, the supply curve of both long run and short run supply curves shifts left.
Cheers.
Answer:
The correct answer is overextension.
Explanation:
In the context of language acquisition, it refers to the erroneous over-generalization in the use of a word; that is, to the error that consists in extending the application of words to entities or objects not included in the concept or category of reference, even if they share certain characteristics. For example, the word "dog" is used to correctly designate dogs; but it is also used in reference to any other animal with "four legs."