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mixas84 [53]
2 years ago
5

A manufacturer reports the following costs to produce 10,000 units in its first year of operations: Direct materials, $10 per un

it, Direct labor, $6 per unit, Variable overhead, $70,000, and Fixed overhead, $120,000. The total product cost per unit under variable costing is:
Business
1 answer:
Sedaia [141]2 years ago
5 0

Answer:

Unitary cost= $23

Explanation:

Giving the following information:

Direct materials= $10 per unit

Direct labor= $6 per unit

Variable overhead= $70,000

Units produced= 10,000

Under the variable costing method, the unitary production cost is calculated using direct material, direct labor, and unitary variable overhead.

First, we need to calculate the unitary variable overhead:

Unitary variable overhead= 70,000/10,000= $7

Now, we can calculate the total unitary cost:

Unitary cost= direct material + direct labor + unitary variable overhead

Unitary cost= 10 + 6 + 7= $23

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The participants in a television quiz show are picked from a large pool of applicants with approximately equal numbers of men an
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Answer:

a) P(X \leq 2)= P(X=0)+P(X=1)+P(X=2)

P(X=0)=(11C0)(0.5)^0 (1-0.5)^{11-0}=0.00049

P(X=1)=(11C0)(0.5)^1 (1-0.5)^{11-1}=0.0054

P(X=2)=(11C0)(0.5)^2 (1-0.5)^{11-2}=0.027

And adding we got:

P(X \leq 2)= 0.033

b) P(X \geq 2)= 1-P(X

And replacing we got:

P(X \geq 2)= =1-[0.00049 +0.0054] = 0.994

c) P(X \leq 1)= 1-P(X

And replacing we got:

P(X \leq 1)=0.00049 +0.0054= 0.0059

Explanation:

Previous concepts

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

Solution to the problem

Let X the random variable of interest "number of women", on this case we now that:

X \sim Binom(n=11, p=0.5)

The probability mass function for the Binomial distribution is given as:

P(X)=(nCx)(p)^x (1-p)^{n-x}

Where (nCx) means combinatory and it's given by this formula:

nCx=\frac{n!}{(n-x)! x!}

Part a

For this case we want to find this probability:

P(X \leq 2)= P(X=0)+P(X=1)+P(X=2)

P(X=0)=(11C0)(0.5)^0 (1-0.5)^{11-0}=0.00049

P(X=1)=(11C0)(0.5)^1 (1-0.5)^{11-1}=0.0054

P(X=2)=(11C0)(0.5)^2 (1-0.5)^{11-2}=0.027

And adding we got:

P(X \leq 2)= 0.033

Part b

For this case we want this probability:

P(X \geq 2)

And we can use the complement rule and we got:

P(X \geq 2)= 1-P(X

And replacing we got:

P(X \geq 2)= =1-[0.00049 +0.0054] = 0.994

Part c

For this case we want this probability:

P(X \leq 1)

And we can use the complement rule and we got:

P(X \leq 1)= 1-P(X

And replacing we got:

P(X \leq 1)=0.00049 +0.0054= 0.0059

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A blue-ocean strategy: A). is an offensive strike employed by a market leader that is directed at pilfering customers away from
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Answer: <u>The correct answer is D).</u>

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Your industrial supply company wants to create a data warehouse where management can obtain a single corporate-wide view of crit
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Answer:

Industrial supply company scenario:

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  • The sales and product information are stored in both a divisional sales system running on a Unix server and a corporate sales system running on an IBM mainframe.
  • The desire is to create a single standard format that consolidates these data from both systems.

Business problems:

  • A business problem that can arise from not having these data in a single standard format is that employees will see the data as inconsistent.
  • It is difficult to make business decisions if the data is unreliable, inaccurate, or redundant.
  • The product descriptions are formatted differently so managers and employees might get confused when it is entered into the system.
  • Also, the system identifies the sales by territory in the United States so it would be impossible to identify the sales or even around the world.
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How easy it would be to create a database with a single standard format:

  • Creating a database with a single standard format would ideally be easy.
  • Data quality audits and data cleansing should be performed when constructing the new database.
  • Data quality audits and data cleansing would correct any redundancies and inaccuracies in the current systems.
  • By using data-cleansing software, the company can combine and integrate the data from all the systems into a single standard format that is uniform throughout the whole company.

Problems that should be addressed:

  • A problem that should be addressed is the product description and sales territory tags.
  • These tags have different formats which could lead to inconsistencies in the data.
  • The names would have to be changed so that they are the same format and are only entered once in the new single standard format database.
  • Another problem that would have to be addressed is keeping both the division and customer id tags in the new database.
  • This would provide more information for each entry and would limit any confusion among the employees.

Database specialists:

  • Database specialists will help solve the problems by performing the data quality audits and data cleansing.
  • They will also help in establishing an information policy and developing the new database.
  • They are also responsible for the specific policies and procedures through which data can be managed as an organizational resource.
  • This involves overseeing logical database design and data dictionary development, planning for data, and monitoring how information systems specialists and end-user groups use data.

General business managers:

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Who should have the authority?

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