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4 years ago

5

A frozen food manufacturer can produce either pizzas or pepperoni rolls. As a result of a decrease in the price of pepperoni rol

ls, the firm produces fewer pepperoni rolls and more pizzas. An economist would explain this by saying

1 answer:

xxMikexx [17]4 years ago

7 0

Answer:

An increase in the quantity supplied of pepperoni rolls and decrease in supply of pizza

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You are an employee in Inside Sales. This means you take calls and address customer issues like entering orders, updating orders

Archy [21]

Answer: Structured; Operational control

Explanation:

Structured task could be defined as tasks that are well defined, also larger tasks are broken down to smaller ones so as to be easily carried out at a manageable rate. They are also plans drafted by employees to carry out a task in a way where time and resources are managed very well.

Operational control decision means they are decision carried out during operations, like recording a day to day inventory of tasks that are carrued out by an individual.

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3 years ago

If a 20 percent increase in the price of red bull energy drinks results in a decrease in the quantity demanded of 25 percent, th

yanalaym [24]

The correct answer is that the price elasticity of demand is elastic.

Price elasticity occurs when a change in price results in a change in demand. In this example, a 20 percent increase in the price of the drinks resulted in a 25 percent decrease in the demand for the product. Because the price increase resulted in a demand decrease the price is elastic.

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3 years ago

What is primary socialization

Ostrovityanka [42]

Answer:

Primary socialization occurs early in a child's life and is primarily due to the influence of family and close friends. Through primary socialization, a child learns basic societal norms and customs. Toilet training is an example of primary socialization.

Explanation:

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2 years ago

Consider a corrupt provincial government in which each housing inspector examines two newly built structures each week. All the

patriot [66]

Answer:

$104,000

Explanation:

The computation is shown below:

= Bribe cost per each housing inspector × number of weeks in a year × number of newly built structures each week

= $1,000 × 52 weeks × 2

= $104,000

We simply multiply the three components i.e Bribe cost per each housing inspector, number of weeks in a year, and the number of newly built structures each week so that the accurate value can come.

4 0

3 years ago

Weekly demand for tennis balls at The Racquet Club is normally distributed , with a mean of 35 cases and a standard deviation of

RideAnS [48]

Answer:

a-The average weekly profit is $1767.31

b- The probability of having a weekly profit of more than 2000 is 0.1587 or 15.87%.

Explanation:

a

The weekly average profit for the simulation is given where first the values are simulated using R which is given as below:

x<-round(rnorm(n,m,s))

Here

round converts all the values of the simlation to integer.
rnorm is the command for simulation
n is the number of values which is 52 in this case
m is the mean of the values which is 35
s is the value of standard deviation which is 5 cases.

The values of x are as follows

[1] 36 49 30 29 34 36 32 28 32 29 32 27 40 32 30 37 43 30 42 30 31 34 36 38 28 29 32 42 36 35

[31] 37 41 34 39 37 46 34 44 45 41 41 29 36 38 35 32 36 39 30 38 40 27

Now using these values, the average of the simulation values is cacluated as follows:

mean(x)

35.3462

Now using this with the value of profit of $50 gives:

Average Profit=$50 x 35.3462

Average Profit=$1767.31

The average weekly profit is $1767.31

b-

First number of cases are required so that the value will be greater than 2000 it is given as

Number of cases=2000/50=40

So firstly the Z-score is calculated which is as below:

$Z=\dfrac{x-\mu}{\sigma}\\Z=\dfrac{40-35}{5}\\Z=1$

Now the probability is given as

$P(X\geq 40)=P(Z\geq 1)\\P(X\geq 40)=1-P(Z< 1)$

The value of P(Z<1) is calculated from the table which is given as

0.84134

So the equation becomes

$P(X\geq 40)=1-P(Z< 1)\\P(X\geq 40)=1-0.8413\\P(X\geq 40)=0.1587$

So the probability of having a weekly profit of more than 2000 is 0.1587 or 15.87%.

4 0

3 years ago