Answer:A. Cost is greater than net realisable value(NRV)
Explanation:
An inventory should not be higher than the price its sale or use and this requires the comparison of inventory cost to it's ( NRV) and whichever is lower will be used as cost of inventory
NRV= Sales price less cost to completion and less estimated cost necessary to make the sales.
Answer:
In the event that I go to a social equality promotion gathering, I will be an expert in my view to characterize the lawful foundation of the constitution and the nineteenth amendment. I'll give the standard to add alteration to stating "as you most likely are aware" to abstain from misunderstanding with them.I additionally utilize propelled phrasing to present to legal counselors. Let me quickly outline the ladies rights development for secondary school understudies and afterward disclose how to fix it. I additionally utilize less modern words to assist understudies with dodging disarray. In the two gatherings I might want to incorporate the fix procedure in light of the fact that the introduction is proposed and regardless of whether a few gatherings definitely know data, it is a significant piece of the introducing time.
Answer:
Explanation:
The expenses that Ryan can deduct for the business trips he had is calculated by summing up the expenses he had with regards to gasoline and the depreciation.
Cost of gasoline = (3,760 miles)($1,590/18,800 miles) = $318
Cost of depreciation = $4,800
Adding the costs will give us an answer of $5118.
Answer: $5,118
Answer:
Capital expenditures are typically one-time large purchases of fixed assets that will be used for revenue generation over a longer period while revenue expenditures are typically referred to as ongoing operating expenses, which are short-term expenses that are used in running the daily business operations.
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Answer:
Inferential statistics
Descriptive statistics
inferential statistics
descriptive statistics
Descriptive statistics
Inferential statistics
Explanation:
Descriptive statistics describes data and gives us a picture of what the data summary looks like using such things as mean and central tendency measures. Inferential statistics on the other hand aims to make predictions using the data based on data analysis such as collecting sample from population and constructing hypotheses to estimate outcomes for the general population. Example in the question, the first is inferential statistics as we make generalized predictions on batteries using data samples from the population of batteries of a particular type.
