Over the first four years of the company’s life, the company earned the following net income (loss): $6,000; $3,000; $6,000, and $(2,000). If the company’s ending retained earnings is $10,000 after year 4, what is the average amount of dividends paid per year?

Investing activities include cash transactions involving the purchase and sale of long-term assets and current investments.

Western Wear reports net income and sales for the year of $65,000 and $1,300,000, respectively. Return on equity is 10%. What is Western Wear’s average Stockholders’ Equity for the year?

The sale of land is reported in the operating activities section of the statement of cash flows.

In the research by Keeney et al. (2000), what was the main finding regarding the use of response cost with escape-maintained aberrant behavior?

Consider the following:                     2024 2023 Amount Increase / Decrease % Cash $ 300,000 $ 800,000 $ (500,000) (62.5) % Accounts receivable 500,000 200,000 300,000 150.0 % Inventory 800,000 700,000 100,000 14.3 % Long-term assets 3,400,000 2,300,000 1,100,000 47.8 % Total assets $ 5,000,000 $ 4,000,000 $ 1,000,000 25.0 %  The table provided above is an example of:

Which of the following is considered by Tamir Sorek as a factor that explains Palestinian soccer’s re-politicization in the 21st century?

Sammy’s Pizza had the following financial information for the year as follows ($ in millions): Net income$ 9,200Obtain loan from the bank4,600Depreciation expense1,800Purchase equipment5,400Increase in accounts receivable3,900Pay cash dividends2,200Increase in salaries payable1,700Sale of land3,500 Sammy’s Pizza would report net cash inflows (outflows) from investing activities in the amount of:

What does the following code segment do?            df = df.groupby(‘team’).cumsum()

Suppose that I have a Dataframe with only 3 numerical columns: C1, C2 and C3 as created below: d = {‘C1′:,’C2′:,’C3’:} df = pd.DataFrame(d) Given the Dataframe df, consider the following code segments: 1. df = df+df+df2. df = df.iloc.sum(axis=1)3. df = df.loc.sum(axis=1) Which of the above statements will work to create a new column that is the sum of columns C1, C2, and C3.