PillPack is an example of a startup organization that grew out of the identification of a problem that needed a solution.

a. True
b. False

Answers

Answer 1

Answer:

True

Explanation:


Related Questions

What would cause an economy to be producing at a point inside its production possibilities curve?

Answers

Answer:

The correct answer is: the lack of effectivization in the use of their resources inside the economy to obtain the best outcomes possibles.

Explanation:

To begin with, in the economic theory the term known as production possibilities curve refers to a strategic tool, a graphic that can be used by the professionals of the area in order to understand how the economy is working with its resources, if the economy is producing well enough then the economy should be getting great development results and the point inside the graphic should be in the limit of the curve, but if the point is in the inside of the curve then that means that the resources inside that particulary economy are not being fully use to their best in order to obtain the best outcome so that will explain that there is still possibility to expand the production according to the theory of the tool itself.

Examine a product that has recently changed prices when you were at the grocery store in the past week. Analyze one determinant of supply and demand that has created the price to increase or decrease in your example. How did the change in demand or supply affect the market price in your example

Answers

Answer:

In the store the bread seemed to have a higher demand this week. When we went monday the shelfs were full of bread and the bread was 3.75 and when we went saturday it was 3.99. I think because it was in higher demand the bread went uo in cost so they wouldn't sell out.

Unobserved effects versus idiosyncratic errors
Suppose you have two years' worth of panel data on wages and work experience of adults; however, the data set has no further information on the characteristics of the individuals in the data set. Specifically, you have cross-sectional wage and work experience data on individuals in 2006, and cross-sectional data on those same individuals in 2012. You plan to use the following fixed effects model to analyze the effects of work experience on wages:
log (wage it ) = βo + 80 yr10, + B1 experit + ai + uit
where
wage it = yearly wage of individual i at time t, in dollars
yrl0, =1 in the year 2010 (t = 2), and =0 otherwise (t = 1)
exper = years of work experience of individual i, at time t
ai = unobserved (time-invariant) effect
uit = idiosyncratic error
Two other factors that can influence wage, which you have not controlled for in your model, are height and industry of employment.
Use the following table to indicate which term in the fixed effects model captures the effect of height, which term captures the effect of industry of employment, and which term captures the effect of work experience.
ai uit β1
Work experience
Height
Industry of employment

Answers

Answer:

The terms that capture the effect of industry of employment and work experience are:

Industry of employment = uit

Work experience = β1

Height = ai

Explanation:

a) Data:

                                         ai      uit       β1

Work experience

Height

Industry of employment

b) Explanation

The "idiosyncratic error" (uit) describes the unobserved factors that impact the dependent variable.  For example, industry of employment, and this factor vary from one-time period to the next.

The unobserved (time-invariant) effect (ai) refers to the height of the industry of employment, which does not vary over time.  

Finally, work experience is depicted by β1, which is a factor that changes with time.

actor Co. can produce a unit of product for the following costs: Direct material $ 8.60 Direct labor 24.60 Overhead 43.00 Total product cost per unit $ 76.20 An outside supplier offers to provide Factor with all the units it needs at $48.40 per unit. If Factor buys from the supplier, the company will still incur 60% of its overhead. Factor should choose to:

Answers

Answer:

Relevant cost to make = Direct materials + Direct labor + Variable overhead

Relevant cost to make = $8.60 + $24.60 + $43.00 (1-60%)

Relevant cost to make = $8.60 + $24.60 + $17.20

Relevant cost to make = $50.40

Outside supplier cost ($48.40) < Relevant cost to make ($50.40). So, Factor should choose to buy because the relevent cost is less than outside supplier cost.

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