When a company introduces new audio products, it often initially sets the price high and lower the price about a year later.
this is an example of:

a) first-degree price discrimination.
b) second-degree price discrimination.
c) intertemporal price discrimination.
d) a two-part tariff.

Mandela manufacturing thinks that the best activity base for its manufacturing overhead is machine hours. the estimate of annual overhead costs is $540,000. the company used 1,000 hours of processing for job a15 during the period and incurred actual overhead costs of $580,000. the budgeted machine hours for the year totaled 20,000. what amount of manufacturing overhead should be applied to job a15? $29,000. $540. $580. $27,000.

5. real versus nominal gdp consider a simple economy that produces two goods: cupcakes and muffins. the following table shows the prices and quantities of the goods over a three-year period. year cupcakes muffins price quantity price quantity (dollars per cupcake) (number of cupcakes) (dollars per muffin) (number of muffins) 2014 2 115 5 175 2015 4 150 2 180 2016 1 100 2 160 use the information from the preceding table to fill in the following table. year nominal gdp real gdp gdp deflator (dollars) (base year 2014, dollars) 2014 2015 2016 from 2015 to 2016, nominal gdp , and real gdp . the inflation rate in 2016 was . why is real gdp a more accurate measure of an economy's production than nominal gdp? real gdp does not include the value of intermediate goods and services, but nominal gdp does. real gdp measures the value of the goods and services an economy produces, but nominal gdp measures the value of the goods and services an economy consumes. real gdp is not influenced by price changes, but nominal gdp is.

Aclassic question of logic is: which came first, the chicken or the egg? in this class, we might adapt that question for exploring the various probability distributions we’ve seen this week and last week. many things we analyze as engineers can be best understood as manifestations in the world of the probabilities these distributions describe. knowing the appropriate descriptive distribution allows us to make predictions about what has happened, or will happen, in the world. discuss how you would explain to a non-engineering manager why, when, and how you would make use of these distributions in order to solve a problem or address an opportunity. what would you need to start, and what you have after your analysis?