The percentage of cost of goods sold is 37.73%. This means that 37.73% of the revenue from selling this item went towards covering the costs of producing it. The remaining 62.27% would be the gross profit margin.
To calculate the cost of goods sold percentage, we need to first determine the total cost of producing the item. In this case, we know that the material cost was $135 and the labor cost was $25 per hour for 5 hours, which equals $125. Therefore, the total cost of producing the item would be $260 ($135 + $125).
Now, we can calculate the cost of goods sold percentage by dividing the cost of goods sold by the total sales revenue. We know that the item was sold for $689, so the cost of goods sold would be $260.
Cost of goods sold percentage = (cost of goods sold / total sales revenue) x 100
Cost of goods sold percentage = ($260 / $689) x 100
Cost of goods sold percentage = 37.73%
Therefore, the cost of goods sold percentage for this item is 37.73%.
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6) When you were leading your in-house team, you displayed optimism by your demeanor each day. How can you best instill a spirit of optimism with your new remote team?
A) Frame challenges as opportunities and provide the tools to meet those opportunities.
B) Frame challenges as a part of business life and encourage your team to find ways to overcome them.
C) Display your same optimistic attitude when you are on video calls with your remote team.
The best way to instill the spirit of optimism in the new remote team is to Display your same optimistic attitude when you are on video calls with your remote team. Thus, option D is correct.
Particularly when working remotely, your leadership style and attitude may have a significant influence on the morale and optimism of your team.
Building a positive and resilient mindset may also be aided by encouraging your team to overcome obstacles and highlighting the possibilities that problems present.
The leaders may assist to establish a positive mood among the team by consistently being cheery throughout video conferences and other interactions.
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Two real estate companies, Century 21 and RE/MAX, compete with one another in a local market. The manager of the Century 21 office would like to advertise that homes listed with RE/MAX average more than 10 days on the market when compared to homes listed with his company. The following data shows the sample size and average number of days on the market
for the two companies along with the population standard deviations.
Sample mean
Sample size
Population standard deviation
Century 21
122 davs
36
32 davs
REMMAX
144 davs
30
35 davs If Population 1 is defined as RE/MAX and Population 2 is defined as Century 21, and using a =
0.10, the critical value for this hypothesis test would be
A) 1.28
B) 1.645
C) 1.96
D) 2.33
For this hypothesis test, the critical value would be 1.28.
Early types of hypothesis testing were utilised in the 1700s, while the practise gained popularity in the early 20th century. In order to analyze the human sex ratio at birth, Pierre-Simon Laplace (1770s) is credited with using the method initially, followed by John Arbuthnot (1710).
While Jerzy Neyman and Egon Pearson (the father of Karl Pearson) invented the hypothesis test, Ronald Fisher ("null hypothesis," "analysis of variance," "significance test"), William Sealy Gosset ("Student's t-distribution"), and Karl Pearson ("p-value," "Pearson's chi-squared test," and "significance test") are largely credited with the invention of modern significance testing.
Initially a Bayesian in statistics (Zabell 1992), Ronald Fisher soon became weary of the subjectivity involved and set out to create a more "objective" approach to inductive reasoning.
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Which 2 reports are among the top 20 memorized reports that convert from QuickBooks Desktop to QuickBooks Online?
The two reports that are among the top 20 memorized reports that convert from QuickBooks Desktop to QuickBooks Online are Profit and Loss and Balance Sheet reports.
The Profit and Loss report, also known as the Income Statement, shows the revenue and expenses of a business over a specified period. It helps in understanding the profitability of a business by highlighting the revenue earned, cost of goods sold, and expenses incurred. Business owners can use this report to identify areas where they can reduce expenses and increase revenue.
On the other hand, the Balance Sheet report shows the financial position of a business at a particular point in time. It presents a snapshot of the assets, liabilities, and equity of a business. It helps in understanding the liquidity of a business and its ability to meet its financial obligations. Investors use this report to evaluate the financial health of a business before making investment decisions.
In summary, the Profit and Loss and Balance Sheet reports are essential reports that every business owner needs to understand to make informed financial decisions. They provide valuable insights into the financial health of a business and help in identifying areas that require improvement.
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- The Food Max grocery store sells three brands of milk in half-gallon cartons—
its brand, a local dairy brand, and a national brand. The profit from its brand is
$0.97 per carton, the profit from the local dairy brand is $0.83 per carton, and
the profit from the national brand is $0.69 per carton. The total refrigerated shelf
space allotted to half-gallon cartons of milk is 36 square feet per week, and a
half-gallon carton takes up 16 square inches of shelf space. The store manager
knows that each week Food Max always sells more of the national brand than
of the local dairy brand and its own brand combined and at least three times as
much of the national brand as its own brand. In addition, the local dairy can
supply only ten dozen cartons per week. The store manager wants to know how
many half-gallon cartons of each brand to stock each week in order to maximise
profit.
a) Formulate a linear programming model for this problem.
b) Solve this model by using the computer.
This is a linear programming problem. In this case, we want to maximize profit while satisfying the constraints given.
Let x1, x2 and x3 be the number of half-gallon cartons of Food Max’s brand, local dairy brand and national brand respectively. Then the objective function is:
Maximize 0.97x1 + 0.83x2 + 0.69x3
The constraints are:
x1 + x2 + x3 <= 361216 (total refrigerated shelf space allotted to half-gallon cartons of milk is 36 square feet per week, and a half-gallon carton takes up 16 square inches of shelf space)
x3 >= x1 + x2 (each week Food Max always sells more of the national brand than of the local dairy brand and its own brand combined)
x3 >= 3x1 (at least three times the amount of the national brand as the company's own brand)
x2 <= 10*12 (the local dairy can supply only ten dozen cartons per week)
Linear programming (LP), often known as linear optimisation, is a strategy for achieving the optimum outcome (such as highest profit or lowest cost) in a mathematical model with linear connections representing the criteria. Linear programming is a subset of mathematical programming (sometimes referred to as mathematical optimization).
Linear programming is a technique for optimizing a linear objective function under linear equality and linear inequality constraints. Its viable region is a convex polytope, which is a set defined as the intersection of an infinite number of half spaces, each specified by a linear inequality. Its goal function is a polyhedral real-valued affine (linear) function.
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