Answer:
$228,000
Explanation:
Beginning work in process inventory, $250000
Cost of goods manufactured, $866000
Beginning finished goods inventory, $292000
Ending work in process inventory, $270000
Ending finished goods inventory, $314000
Cost of Goods Sold = Beginning work in process inventory + Beginning finished goods inventory - Ending finished goods inventory, $314000
Cost of Goods Sold = $250,000 + $292,000 - $314,000
Cost of Goods Sold = 228,000
Answer:
Stock price is $68.65
Explanation:
The following image shows the stock price:
These memories about cultural heroes and events are one of the chief characteristics of an age <u>cohort</u>.
<h3>What does a cohort mean?</h3>
A cohort is a group of people who have similar demographic traits or life experiences, such as age but not exclusively. Cohort effects are typically masked by age in cross-sectional research. Cohorts can be, for instance: individuals who had children in the same year. People who retire simultaneously.
<h3 /><h3>What characteristics do cohort study have?</h3>
The distinguishing characteristic of a cohort study is that the researcher selects participants at a time when they do not yet have the desired outcome and examines the occurrence of the desired outcome between groups of exposed and unexposed (or less exposed) people.
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Answer:
Answer A
Explanation:
Revenue expenditures are the expenditures during period in which the asset has been put into its usage. They are often discussed in the context of fixed assets. For instance if a company installs new equipment and has monthly costs of its maintenance, these costs are revenue expenditures. Therefore, they only present additional costs that do not necessarily increase asset's life.
Answer:
The answer is below.
Explanation:
The z score is a used in statistics to determine by how many standard deviations the raw score is above or below the mean. The z score is given by:

a) Given that n = 100, μ = 2000, σ = 18
For x < 1995 millimeters:

From the normal distribution table, P(x < 1995) = P(z < -2.78) = 0.0027
b) P(z > z*) = 10% = 0.1
P(z < z*) = 1 - 0.1 = 0.9
z* = 1.28

From the normal distribution table, P(z < z