Answer:
b. problem-solution
Explanation:
Based on the information provided within the question it can be said that the organizational pattern that the speaker is using is a problem-solution pattern. This pattern focuses on stating a problem and providing solutions to solve that problem. Which is what the speaker is doing by indirectly stating that sales are low in the key markets and then proceeds to talk about ways of increasing sales in those areas.
A restaurant can sell mixed beverages if they fulfill these requirements: A. It must be accompanied by a food order. B. Beverage must be in a sealed tamper-proof container. C. There is no alcohol/food ratio.
What is a Mixed beverage?
A mixed drink, caterer, or special occasion license holder must provide or sell one or more portions of a beverage made all or portion of an alcoholic drink in a sealed or unopened container of any permitted capacity for personal consumption were served or sold.
Any restaurant in this business must fulfill all the conditions to be able to sell mixed beverages as requested by the legal authorities.
Hence, the correct option is D. All of the above.
To learn more about mixed beverages, refer to the link:
brainly.com/question/17645986
Answer:
(a) $3 per bottle
(b) $1
(c) $2
Explanation:
Given that,
Before the tax:
10 billion bottles of wine were sold every year at a price of $4 per bottle.
After the tax:
3 billion bottles of wine are sold every year. For which, consumers pay $5 per bottle (including the tax) and producers receive $2 per bottle.
Amount of the tax on a bottle of wine:
= price after tax paid by consumer - price after tax received by producer
= $5 - $2
= $3 per bottle
Burden that falls on consumers:
= Paid after tax - Paid before tax
= $5 - $4
= $1
Burden that falls on producers:
= Received before tax - Received after tax
= $4 - $2
= $2
Part-time is usually around 15-20 hours of work a week when in comparison to a full time job which can be upwards to 40 hours a week. Part-time jobs are common with teenagers as school constraints half of their day.
This is known as in-sample forecast. It estimated the model using all available data and then comparing it to the model's fixed values to the actual realizations. But, this method is known to attract an overly positive picture of the model's forecasting ability since common fitting algorithms tend to take pains to avoid big prediction errors and are also inclined to overfitting (mistaking noise for signal in the data).
