Answer:
Gross Profit $ 23,253
Explanation:
Stubbs Company
Perpetual Inventory Method
Date Purchases Unit Price Total Cost
January 1, 1,400 units $12.00 $16,800
January 10, 1,600 units $7.25 $11,600
Total 3000 28,400
Weighted Average Cost= 28,400/3000= $ 9.467
Sales 1,600 units at$24.00 =$38,400
COGS 1600 units at $ 9.467 = $ 15,147
Gross Profit $ 23,253
The amount of gross margin reported on the income statement will be: $ 23,253
Answer:
$185,400
Explanation:
Price of next best alternative = $150,000
Expected crash system saving:
= (Probability of crash × cost of a system crash) - (Probability of machine will crash × cost of a system crash)
= [(15% × 500,000) - (5% × 500,000)]
= $75,000 - $25,000
= $50,000
Added operating cost true economic value:
= (Number of hours in 365 days × machine cost per hour) - (Number of hours in 365 days × Next best alternative cost per hour)
= [(2,920 × $20/hr) - (2,920 × $15/hr)]
= $58,400 - $43,800
= $14,600
True economic value (TEV) of the machine:
= Price of next best alternative + Expected crash system saving - Added operating cost true economic value
= $150,000 + $50,000 - $14,600
= $185,400
The answer that best complete the blank provided above is the term CANNIBALIZATION. Product cannibalization happens when a new product that is being introduced by the same producer, eats up the sales of the other products that exist in the same market resulting in the decrease of the overall sales.
Answer:
Shortage: there is more demand than there is at the equilibrium price. There is also less supply than there is at the equilibrium price, thus there is more quantity demanded than quantity supplied.
Your pretty much short in supply and cant fulfill the demand
While surplus
When a price floor is set above the equilibrium price, quantity supplied will exceed quantity demanded, and excess supply or surpluses will result.
Theirs a a large amount of supply due to the pricing most likely beign high
Explanation:
Answer:
business intellingence (BI) and business analytics (BA)
Explanation:
Business intelligence is aetgof that is focused on the present profitability of the business. It uses past data to better improve current processes aimed at meeting the firm's present needs.
Business analytics on the other hand is the use of past data to predict future action that will best enable a firm meet its business objectives.
Therefore business intelligence and business analytics involves integrating the information streams produced by a firm into a single, coherent enterprise-wide set of data, and then using modeling, statistical analysis tools, and data mining tools to make sense out of all these data so that managers can make better decisions and better plans.
