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Goryan [66]
2 years ago
6

Phil Johnson is the owner of a small firm that manufactures customized oil-drilling equipment. The company's manufacturing facil

ity is organized into a fabrication section, a heat treatment section, a welding section, and a quality control section. This type of plant layout is referred to as a(n) ____ layout.
a. assembly-line
b. pooled manufacturing
c. group manufacturing
d. product
e. process
Business
1 answer:
Iteru [2.4K]2 years ago
8 0
B. pooled manufacturing
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You are considering investing $1,000 in a T-bill that pays 0.05 and a risky portfolio, P, constructed with two risky securities,
Nesterboy [21]

Answer:

c)$568; $378; $54

Explanation:

($1,120 - $1,000)/$1,000 = 12%

(0.6)14% + (0.4)10% = 12.4%

12% = w5% + 12.4%(1 - w)

w = .054

1-w = .946

w = 0.054($1,000)

= $54 (T-bills)

1 - w = 1 - 0.054 = 0.946

0.946($1,000) = $946

$946 x 0.6 = $568 in X

$946 x 0.4 = $378 in Y.

8 0
2 years ago
You are a U.S.-based treasurer with $1,000,000 to invest. The dollar-euro exchange rate is quoted as $1.60 = €1.00 and the dolla
kotykmax [81]

Answer: An astute trader can make $ 41,666.66.

Explanation: You must first change

$ 1,000,000 per pounds, which would leave a total of £ 500,000. ($ 1,000,000 / 2.00 = £ 500,000;).

Secondly spend £ 500,000 to euros, obtaining € 600,000 (£ 500,000 x 1.20 = € 600,000;).

Thirdly, with euros, buying dollars again, obtaining $ 960,000 (€ 600,000 x 1.60 = $ 960,000), that is, an arbitrage loss of -40,000 in relation to the initial investment.

Finally you must return in the opposite direction:

$ 1,000,000 / 1.6 (€) / 1.2 (£) * 2 - $ 1,000,000 = $ 41,666.66 that is, an arbitrage profit.

4 0
2 years ago
What makes data mining an important business tool? What types of information does data mining produce? In what type of circumsta
Vinil7 [7]

Explanation:

Data mining is a technique in data analysis that allows users determine faster and one of the strategic business intelligence techniques. Data mining enables users to analyze large amounts of data and to identify hidden links within data not known otherwise.  

For example, data mining might reveal that a consumer buying product X is ten times as likely to buy the product

Data mining finds information such as:

  • Relationships, or events related to a single event.
  • Events or patterns linked over time.
  • Category or patterns that define the category to which an article refers, discovered through an analysis of current classified objects and the application of a set of rules.
  • Unclassified or connected clusters;
  • Clusters, or unclassified but related groups

Whether hunting at new products and services or seeking new marketing strategies or new markets, I would suggest to a company that uses data mining. Data mining can be useful if unforeseen business issues whose sources are hard to identify are being studied.

8 0
1 year ago
Read 2 more answers
Jane Hastings recently joined her first job as a communication executive and is working on creating press releases for an upcomi
Karo-lina-s [1.5K]

Answer:

<em>d. high negative affect</em>

Explanation:

Negative affectivity is <em>a wide trait of personality, referring to the stable inclination to suffer negative emotions. </em>

<em>People high in Negative affectivity are much more reluctant to experience negative levels of affective mood over time and irrespective of circumstance. </em>

Same with Jane, she started her new job but experiences emotions of negativity because of the campaign.

They often report further dissociative symptoms and focus on negative stimulation or possibly dangerous situations.

6 0
2 years ago
Read 2 more answers
Instructions: Round your answers to 2 decimal places. If you are entering a negative number include a minus sign. a. Using the m
BabaBlast [244]

Answer:

The answer is below

Explanation:

The graph is attached below.

a) The price elasticity of demand is given by:

price elasticity of demand = \frac{\%\ change\ in\ quantity }{\%\ change\ in\ price}=\frac{\Delta Q}{\Delta P}

\Delta Q=\frac{Q_2-Q_1}{(Q_2+Q_1)/2} \\\\\Delta P=\frac{P_2-P_1}{(P_2+P_1)/2}

Price of elasticity demand =   \frac{\frac{Q_2-Q_1}{(Q_2+Q_1)/2} }{\frac{P_2-P_1}{(P_2+P_1)/2} }

Price of elasticity demand =   \frac{\frac{50-100}{(50+100)/2} }{\frac{4.5-4}{(4.5+4.0)/2} }=\frac{-0.6667}{0.1176} =5.7

Since the price of elasticity demand > 1, it is elastic

b) Price of elasticity demand =   \frac{\frac{200-300}{(200+300)/2} }{\frac{3-2}{(3+2)/2} }=\frac{-0.4}{0.4} =1

Since the price of elasticity demand = 1, it is unitary

c) Price of elasticity demand =   \frac{\frac{400-450}{(400+450)/2} }{\frac{1-0.5}{(1+0.5)/2} }=\frac{-0.1176}{0.6667} =0.18

Since the price of elasticity demand < 1, it is inelastic

6 0
1 year ago
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