Answer:
<u>Job cost sheet</u>
Beginning /Materials / Labor / *overhead / Total
>J/58 0 9200 14400 3840 27440
>J/59 0 8900 10800 2880 22580
>J/60 0 6400 7200 1920 15520
24500 32400 8640 65540
<em><u>Journal entries:</u></em>
raw materials 29670
accounts payable 29670
WIP 24500
raw materials 24500
WIP 32400
wages payables 32400
factory overhead 17880
accounts payable 17880
WIP 8640
factory overhead 8640
Finished Goods 50,020**
WIP inventory 50,020
***COGS 53,040
Finished Goods 53,040
Accounts receivables 74256
*4 Sales revenue 74256
Explanation:
* the overhead is calcualte as the direct labor per job (800 ; 600; 400 respectively) times the overhead rate of 4.80
** the finished goods are Job 58 for a cost of 27,440 and 59 which cost is 22,580 we add the mand get 50,020 for the amount transferred int ofinished goods
***the cost of good sold will be J/57 of 25,600 plus J/58
*4 the sales revenue will be COGS times 1.4 as is the manufacturing cost plus a 405 markup.
Answer:
A) The GDP deflator is better than the CPI at reflecting the goods and services bought by consumers.
Explanation:
The GDP deflator measures the change in prices of all finished goods and services produced within an economy in a given year.
The CPI, on the other hand, measures the change in the price of a selected basket of goods and services, that corresponds with those that are most often bought by citizens, but is limited anyways in scope.
Therefore, we can safely conclude that the GDP deflator is a more comprehensive measure, even if it's used less frequently than the CPI.
1. The researcher is concerned about making a Type I error (which caused by incorrect rejection of a true null hypothesis), which concludes that there are differences between the placebo and medication groups when these are really due merely to chance.
2. <span> In order to decrease the likelihood of type I error, the researcher could reduce her probability (alpha) leve to .01 or even .001.
Other method that she could do even though it's not popular is reducing her sample size.
3. The same method to solve type 1 errors would not work in other studies. As the possibility of type 1 error increased, the possibility of type 2 error will be decreased (for example type 2 error could be reduced by </span><span>by increasing the power of your test)</span>
Answer:
Supporting them means giving the innovation economy a better chance to find solutions. Startups disrupt, transform and better old ideas and create new ones. By doing so they create new markets and opportunities which in turn create more jobs and improve people's lives.
Scenario 2 would be correct
