The May transactions for Charlie Company (seller) assuming that Charlie uses a perpetual inventory system are:
Charlie Company Journal entries
May 13
Debit Account receivable $360
(8×$45)
Credit Sales $360
(To record credit sales)
May 13
Debit Cost of goods sold $208
(8×$26)
Credit Merchandise inventory $208
(To record cost of goods sold)
May 16
Debit Sales return and allowances $45
Credit Account receivable $45
(To record goods returned)
May 16
Debit Merchandise inventory $26
Credit Cost of goods sold $26
(To record cost of goods sold returned)
May 23
Debit Cash $302
($315-$13)
Debit Sales discount $13
(4%×$315)
Credit Account receivable $315
($360-$45)
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Answer:
Ending retained earnings balance is 700.
Explanation:
In order to find the ending retained earnings we will have to start from the beginning retained earnings. The beginning retained earnings are 1050. Because the company has a net loss of 150 we will subtract 150 from 1050. And we are left with 900. After this we will subtract the 100 cash dividends as these are also paid from the retained earnings that the company has so we are left with 800. Also the company pays a stock dividend worth 100 so we will also subtract that and are left with 700. So the ending retained earnings balance is 700.
 
        
             
        
        
        
-Inelastic means that the consumers will still purchase the product at the same rate despite price changes. 
-The answer would be cancer medication, because the consumer would still need to buy this regardless of price. Even if it puts them in a financial bind. 
-When having your on a car or watch, if the price of that item increases, you could be less likely to buy it. 
-When picking out a hamburger at a restaurant, the customer is most likely to by a cheaper burger if they are on a budget.
        
             
        
        
        
Based on the given sample above, I can say that it would be an example of a descriptive statistics. When we say descriptive statistics, this is the kind of statistics that uses numerical data based from the given sample in order to describe the population. This is different from inferential because inferential statistics creates inferences based on the given data. Hope this helps.
        
             
        
        
        
Descriptive analytics is best described with a report that includes charts and graphs explaining the data.
<h3>What Is Descriptive Analytics?</h3>
The interpretation of historical data through descriptive analytics helps to better comprehend changes that have taken place in a firm. The process of using a variety of historical data to make comparisons is known as descriptive analytics.
In contrast to the complicated calculations required for predictive and prescriptive analytics, descriptive analytics typically uses simple math and statistical methods, such as arithmetic, averages, and percent changes. Since results are presented using visual tools like line graphs, pie, and bar charts, descriptive analytics may - and should - be easily comprehended by a broad corporate audience.
Therefore, a report with charts and graphs illuminating the data is the best way to describe descriptive analytics.
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