Answer:
Explanation:
1.
Direct labour hours work during the period:
Product S=72,400 units×1 hour=72,400 hours
Product W=18,100 units × 3 hours=54,300 hours
Total labour hours=126,700 hour
Predetermined overhead rate=$958,396/126,700 =7.56 per hour
2.
Unit product cost of S = Direct Material cost + Direct labour cost + Overhead = 12+16+7.56*1 = $35.56
Unit product cost of W = Direct Material cost + Direct labour cost + Overhead = 34+13+7.56*3 = $69.68
Answer:
False
Explanation:
"Cash-to-cash Analysis and Management" by<em> Hutchinson, Farris and Anders</em> talks about the availability of the<em> financial data</em> and <em>computer technology</em> in assisting a business when it comes to determining its <u>cash-to-cash position </u><em><u>(C2C)</u></em><em>,</em> as well as the <em>benchmarks</em> needed for comparison.
Cash-to-cash analysis was difficult in the past, however, it is easier nowadays. The supply chain is even examined at a broader view than before. C2C efficiency is possible by utilizing the<em> readily available</em> financial date and computer technology. So, this makes the statement above as "false."
So, this explains the answer.
<span>The officials are expected to have a very good sense of balance. To achieve the office in the first place, the officials are required to cross a tightrope suspended above the ground, reach the middle, and jump as high as they can without falling or otherwise injuring themselves.</span>
Start with a resume and if you have any previous jobs should be listed to your interviewer (things such as lawn mowing or babysitting counts). If here is a department of labor in your area then you should contact them and they will help you find a job ( It's part of their job to help people find a job anyways).
Answer: D - both variables must be categorical
Explanation: Crosstabulation is a technique used in the examination of 2 categorical variables. It is also known as contingency table analysis.
Crosstabulation is an analytic and useful tool in marketing research.
It creates a good relationship between the variables with its unique naming. its variables have a low chance of standing alone.
