Answer: structurally unemployed
Explanation: The structurally unemployed are people who are unemployed because wages are, for some reason, set above the level that brings labor supply and demand into equilibrium. This translates to a mismatch between the jobs available and the skill levels of unemployed workers i.e., the skills unemployed workers have do not match the skills needed or required by employers which often are higher paying. Structural unemployment is caused by forces such as technological advancements, trade agreements etc. Typically it occurs when an underlying shift in the economy makes it difficult for some group of workers to obtain jobs.
Fisher Inc. wants to bring about a radical change to the current skills that exist in the organization, so they will employ internal growth strategies.
<h3 /><h3>Change management</h3>
It is an approach that should be used when an organization decides to implement significant changes that will impact administrative routines and the work of employees.
The purpose of change management is to prepare and support employees to adapt to changes that will occur in the work environment, generating greater transparency, compliance and reducing resistance.
Therefore, it is essential that when defining internal growth strategies that generate changes, the organization analyzes, monitors and evaluates the changes so that the new processes occur successfully and generate benefits for the company.
Find out more information about growth strategies here:
brainly.com/question/15115779
Answer:
The unemployment rate is 13.51%
Explanation:
The computation of the unemployment rate is as follows;
But before that following calculations need to be done
Labor Force is
= 120 + 40 + 25
= 185
And, the unemployed would be 25
Now the unemployment rate is
= unemployed ÷ Labor Force
= 25 ÷ 185
= 13.51%
hence, the unemployment rate is 13.51%
Answer:
P-value = .010444, this means it is statistically significant or probable that the proportion of people who are confident is larger than 70% at the 0.05 significance level.
Explanation:
Population proportion, p = 0.70
Number of people taken in a sample, n = 700
Sample proportion, = 0.74
State the hypotheses:
H
₀:p = 0.70
Hₐ
:p < 0.70
one-tailed test, we must calculate z test statistic:
z = ( - p) / √{[p(1 - p)]/n}
z = (0.74 - 0.70) / √{[0.70(1 - 0.70)]/700} = 2.31
z = 2.31
using a table we can find out P-value for Z = 2.31:
P-value = .010444, this means it is statistically significant or probable that the proportion of people who are confident is larger than 70% at the 0.05 significance level.
American schoolchildren in terms of age, American women in terms of their physical height, and the American population in terms of gender.
Hope this helps :)