Weathering causes damage of change to happen such as physical and chemical weathering
Answer:
The metrics and dimensions I should include in a custom report to deermine the day and time when users are most likely to complete a purchse after I sent them an email promotion providing a discount to users with a birthday in the month of September. are:
Day of Week, Hour, eCommerce Convertion rate, sessions.
Explanation:
The reasons behind these answers are two: The first one is that I need to write a record of the people to follow my call in the e-mail. So that record should include day of week, as well as hour to study their behavior. Also, the e-commerce conversion rate to analyze the effectiveness of the e-mail promotion and the sessions to find out how much people entered at the same time.
Answer:
Felicidad 80 million Jean
Arcadie 32 million Rye
Explanation:
To know which is the best in Rye production we haveto pick the one with the least opportunity cost (the country which producing Rye decreases less the production of Jeans)
Felicidad Rye opportunity cost 20/5 = 4 Jeans
Arcadia Rye opportunity cost 16/8 = 2 jeas
Arcadie will be the country with comparative advantage for Rye as it renounce to less units of Jeans than Felicidad
<em><u>The best country for jean production will be Felicidad</u></em>
4m x 20 = 80m jean
<em><u>The best country for Rye will be Arcadia</u></em>
4m x 8 = 32m Rye
Answer:
The selling price is $99
Explanation:
The selling price of the product can be computed by adding required profit margin to the unit cost of the product.The required profit margin is the 10% return on invested assets.
Total variable cost $59*10000 =$590,000
Fixed expenses ($180,000+$60,000) =$240,000
desired profit margin(10%*$600,000) =$60,000
Total sales revenue =$990,0000
price per unit=$990,000/10000=$99
The cost-plus approach to product pricing gives $99
Answer:
c. The average change in prices of a fixed basket of goods and services of urban consumers
Explanation:
It is a measure of the average change over time in the price paid by urban households for a set of consumer goods and services. It reflects the spending patterns of each of two population groups: all-urban consumers and urban wage earners and clerical workers, which include professionals, the self-employed, the unemployed, and poor persons.
