Being smart is something that's grown and cultivated, often by being curious enough to seek out new information and by recognising what you don't already know. Being smart is the ability to put ideas together, and create solutions to problems. Being smart is the ability to focus, concentrate, and communicate.
The correct answer is "ending inventory of one period is the beginning inventory of the next period."
An inventory error not only affects the current year's cost of goods sold, gross profit, net income, current assets, and equity, but also the next period's statements because ending inventory of one period is the beginning inventory of the next period.
That is why the manager has to be strict regarding the inventory of a company. Inventory has a cost that can be translated into money. So accountants have to be perfect regarding the inventory. So yes, ann error in keeping the inventory affects the company in that the ending inventory of one period is the beginning inventory of the next period. An internal audit can reveal the mistakes in accurately keeping the inventory. So it is better to put extra attention in the process so nothing wrong would be revealed after the audit.
The answer is strategic decision making. This is also
referred as strategic planning in which a group of people or an individual
engage into making or creating the goals or objectives that the organization
would want to achieve or tackle in a way of providing altering strategies and
to obtain the goal that they aim for.
The correct answer is - allows managers to use the normal distribution as the basis for building some control charts.
<u>Explanation:</u>
It is the theorem that allows inference from a random sample. It says that:
• The sample mean will likely be towards the population mean within a margin of error
• The margin of error is a multiple of the standard error, which is the standard deviation divided by the square root of the sample size. The multiple is determined by the degree of statistical confidence you’re looking for, and the normal deviate corresponding to that — 1.65 for 90% confidence, 1.96 for 95% confidence, etc.
