Following Are Selected Accounts for Green Corporation and Vega Company

question 96

Multiple Choice

Following are selected accounts for Green Corporation and Vega Company as of December 31, 2015. Several of Green's accounts have been omitted. $$\begin{array} { l r r } & \text { Green } &{ \text { Vega } } \\\text { Revenues } & \$ 900,000 & \$ 500,000 \\\text { Cost of goods sold } & 360,000 & 200,000 \\\text { Depreciation expense } & 140,000 & 40,000 \\\text { Other expenses } & 100,000 & 60,000 \\\text { Equity in Vega's income } & ? & \\\text { Retained earnings, 1/1/15 } & 1,350,000 & 1,200,000 \\\text { Dividends } & 195,000 & 80,000 \\\text { Current assets } & 300,000 & 1,380,000 \\\text { Land } & 450,000 & 180,000 \\\text { Building (net) } & 750,000 & 280,000 \\\text { Equipment (net) } & 300,000 & 500,000 \\\text { Liabilities } & 600,000 & 620,000 \\\text { Common stock } & 450,000 & 80,000 \\\text { Additional paid-in capital } & 75,000 & 320,000\end{array}$$ Green acquired 100% of Vega on January 1, 2011, by issuing 10,500 shares of its $10 par value common stock with a fair value of $95 per share. On January 1, 2011, Vega's land was undervalued by $40,000, its buildings were overvalued by $30,000, and equipment was undervalued by $80,000. The buildings have a 20-year life and the equipment has a 10-year life. $50,000 was attributed to an unrecorded trademark with a 16-year remaining life. There was no goodwill associated with this investment. Compute the December 31, 2015, consolidated equipment.

• A)$800,000.
• B)$808,000.
• C)$840,000.
• D)$760,000.
• E)$848,000.

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Definitions:

SS(Total)

The total sum of squares in a dataset, representing the overall variation present within the data.

Factor A Levels

Factor A Levels refer to the different categories or values that an experimental factor, known as Factor A, can assume in an experiment.

Significance Level

A threshold in hypothesis testing that defines the probability of rejecting a true null hypothesis, commonly denoted by alpha (α).

Test Statistic

A numerical value calculated from a sample used in statistical hypothesis testing to determine whether to reject the null hypothesis.