Answer:
the answer to a is 3 same as b
Answer:
Option (c) is correct.
Explanation:
In this situation, he is considered as employed. Presently, he is working as a correction officer and this job is suitable according to his qualifications. If he is trained and still working in a same department at a same job position then this situation is considered as an underemployed.
Hence,
While computing the official unemployment rate, the Marc is considered as an employed.
Answer:
$9340
Explanation:
The amount of cash received from customers to be shown under operating activities is computed using the below formula:
Cash from customers=credit sales+decrease in accounts receivable-uncollectible accounts expense
credit sales=$9,120
decrease in accounts receivable=$2,720-$1,760=$960
uncollectible accounts expense=$740
cash received from customers=$9,120+$960-$740
cash received from customers=$9340
Answer:
5.80%
Explanation:
Computation of after-tax return
Based on the information given the total before-tax income will be $3.
Since the firm is in the 30% tax bracket this means that the taxable income will be calculated as:
Taxable income =(0.30 ×$3)
Taxable income = $0.9
The next step is to calculate for the Taxes
The taxes will be = (0.30 ×$0.9) = $0.27
Now let calculate for the After-tax income
After-tax income = ($3 - $0.27) = 2.73
The last step is to find the After-tax rate of return using this formula
After-tax rate of return =After-tax income/Share of preferred stock
Let plug in the formula
After-tax rate of return = ($2.73/$47)
After-tax rate of return=0.058×100
After-tax rate of return = 5.80%
Therefore After-tax rate of return will be 5.80%
Answer:
Several studies have been carried out to examine the association between education and occupation. These studies were useful for the purpose of intervention and policy making. In this study we examined the relationship between education factor, which includes three indicators: the percentages of population who achieved (primary, secondary and tertiary) and occupation factor (CLASS1, CLASS2 and CLASS3) using fully and partially latent models. The data were collected from the information of 81 districts based on the census conducted in peninsular Malaysia in 1995. The goodness of fit indexes for assumed models were examined. We didn't find significant relationship between educational achievement and occupation factor.
