Answer: Business calculation is mathematics used by industrial companies to record and maintain enterprise operations. Profit-making organizations use mathematics in accounting, catalog management, retailing, deals forecasting, and monetary analysis.
Answer:
<em><u>The </u></em><em><u>switch </u></em><em><u>virtual</u></em><em><u> </u></em><em><u>interface</u></em>
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<em>Switch</em><em> </em><em>Virtual</em><em> interface</em><em> </em><em>(</em><em>SVI</em><em>)</em><em> </em><em>A </em><em>virtual</em><em> </em><em>port </em><em>on </em><em>multiplayer</em><em> </em><em>(</em><em>layer </em><em>2</em><em> </em><em>&</em><em> </em><em>3</em><em>)</em><em> </em><em>switch</em><em> </em><em>that </em><em>routes </em><em>traffic</em><em> </em><em>from </em><em>VLANs </em><em>to other VLANs </em><em>(inter VLAN routing) a logical interface on a switch that is associated with one VLAN which may used to route between 2 + VLAN's connected to a switch without a router being present</em>
Answer:
The correct answer is:
$80,500 (b.)
Explanation:
First of all, not that total anticipated October sales is the same thing as projected October sales. Therefore, this sale is calculated as follows:
Projected sales = 7,000
unit price = $11.50 per unit
Therefore
Price for 7,000 units = 11.5 × 7,000 = $80,500
Answer:
d. .64.
Explanation:
Price elasticity of demand measure the responsiveness of demand against change in the price of given product. It measures the ratio of change in demand to change in price.
Change in demand = ( 2200 - 2000 ) / [ (2200+2000)/2 ] = 200 / 2100 = 0.0952
Change in price = ( 1.25 - 1.45 ) / [ (1.25+1.45)/2 ] = 0.2 / 1.35 = 0.148
Elasticity of Demand = Change in demand / change in price = 0.0952 / 0.148 = 0.643 = 0.64
Answer: A.There is sufficient evidence to conclude that the mean price of a single-family home has increased from its level two years ago of $299,500
Explanation:
From the question, we are informed that according to the Federal Housing Finance Board, the mean price of a single-family home two years ago was $299,500 and that a real estate broker believes that due to recent credit crunch, the mean price has increased since then and the result is that the null hypothesis is not rejected.
The conclusion based on the results of the test is that since the null hypothesis has been rejected, it simply means that there are sufficient evidence that there has been an increase in the mean price since two years ago.
Therefore, option A is the correct answer.