Inventory are the products which are directly involved in the manufacturing of a business. Inventory includes raw materials inventory, work in progress inventory and finished goods inventory.
In a merchandising business, inventory includes all the products available for use. There are inventories in the administrative section of the company also which is known as the supplies Inventory.
Purchases are a nominal account that forms part in the cost of goods sold. Purchases term is used in the manufacturing firm and is the raw materials needed in the production of their product, thus will also form part of the inventory account if there is a left over for it.
Inventory on the other hand can come from the purchases itself in terms of the raw materials.
<u> There are many </u><u>inventory control</u><u> such as the following:</u>
Conducting different semi annual inventory count to know the actual number of inventory in hand against the monitoring of the inventory
Maintaining security of the facility of the stockroom storage by having cctv and padlock of the room.
Checking the incoming and outgoing inventory based on the documents given in the store.
Proper segregation of duties must be there, the record keeper should not be the same person as the one holding the inventory.
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This software package demonstrates the use of vertical applications software.
As the definition itself says, a vertical application is a type of a software designed to support a particular business. So here, this software was created to help a physician run his business when it comes to medical billing, so it has a specific purpose.
Answer:
$10 per hour
Explanation:
As for the information provided,
Predetermined overhead rate is the rate that is determined based on the expected or estimated level of activity, that is then charged to actual level of activity, which gives us over-applied or under-applied overheads.
In the given case, estimated overheads = $250,000
Estimated direct labor hours = 25,000
Thus, predetermined overhead rate = $250,000/25,000 = $10 per hour.
If a monopolistically competitive firm's demand curve is shifting to the left, it will stop when: firms stop entering the industry
This is further explained below.
<h3>What is
the industry?</h3>
Generally, An industry is a set of firms that are considered to be in some way comparable due to the principal commercial activity that they engage in. There are hundreds of different ways to classify industries in contemporary economies. The various kinds of businesses are often organized into broader groups that are referred to as sectors.
In conclusion, If a monopolistically competitive company's demand curve is migrating to the left, it will cease doing so when the following occurs: businesses stop joining the industry.
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<span>Put the individual p-values in ascending order.Assign ranks to the p-values. For example, the smallest has a rank of 1, the second smallest has a rank of 2.<span>Calculate each individual p-value’s Benjamini-Hochberg critical value, using the formula (i/m)Q, where:<span>i = the individual p-value’s rank,m = total number of tests,Q = the false discovery rate (a percentage, chosen by you).</span></span>Compare your original p-values to the critical B-H from Step 3; find the largest p value that is smaller than the critical value.</span>
As an example, the following list of data shows a partial list of results from 25 tests with their p-values in column 2. The list of p-values was ordered (Step 1) and then ranked (Step 2) in column 3. Column 4 shows the calculation for the critical value with a false discovery rate of 25% (Step 3).
The bolded p-value (for Children) is the highest p-value that is also smaller than the critical value: .042 < .050. <span>All </span>values above it (i.e. those with lower p-values) are highlighted and considered significant, even if those p-values are lower than the critical values. For example, Obesity and Other Health are individually, not significant when you compare the result to the final column (e.g. .039 > .03). However, with the B-H correction, they are considered significant; in other words, you would reject the null hypothesis for those values.