2. Calculating marginal revenue from a linear demand curve The blue curve on the following graph represents the demand curve facing a firm that can set its own prices. Use the graph input tool to help you answer the following questions. You will not be graded on any changes you make to this graph. Note: Once you enter a value in a white field, the graph and any corresponding amounts in each grey field will change accordingly. Graph Input Tool (?) Market for Goods 200 180 IQuantity 20 Demanded (Units) 160 Demand Price (Dollars per unit) 140 100.00 9 120 100 80 60 Demand 40 20 8 12 16 20 24 28 32 36 40 QUANTITY (Units) On the graph input tool, change the number found in the Quantity Demanded field to determine the prices that correspond to the production of 0, 8, 16, 20, 24, 32, and 40 units of output. Calculate the total revenue for each of these production levels. Then, on the following graph, use the green points (triangle symbol) to plot the results. 2000 1800 Total Revenue 1600 1400 1200 1000 800 600 400 200 4 8 12 16 20 24 28 32 36 40 QUANTITY (Number of units) TOTAL REVENUE (Dollars) PRICE (Dollars per unit)

The figure below plots a histogram of ages for Olympic athletes. What are ways that this plot could be improved: Mark all that apply. count 20000- 15000- 10000- 5000- 0- 20 20 40 age_of_athlete Do a scatter plot instead of a histogram to more effectively portray the information Change X-axis label Add a title Capitalize Y-axis label 80 60

FORCASTING using the data below can you answer the question: Month Sales Jan-16 747 Feb-16 697 Mar-16 1014 Apr-16 1126 May-16 1105 Jun-16 1450 Jul-16 1639 Aug-16 1711 Sep-16 1307 Oct-16 1223 Nov-16 975 Dec-16 953 Jan-17 1024 Feb-17 928 Mar-17 1442 Apr-17 1371 May-17 1536 Jun-17 2004 Jul-17 1854 Aug-17 1951 Sep-17 1516 Oct-17 1642 Nov-17 1166 Dec-17 1106 Jan-18 1189 Feb-18 1209 Mar-18 1754 Apr-18 1843 May-18 1769 Jun-18 2207 Jul-18 2471 Aug-18 2288 Sep-18 1867 Oct-18 1980 Nov-18 1418 Dec-18 1333 Jan-19 1333 Feb-19 1370 Mar-19 2142 Apr-19 2138 May-19 2078 Jun-19 2960 Jul-19 2616 Aug-19 2861 Sep-19 2237 Oct-19 2225 Nov-19 1590 Dec-19 1659 Jan-20 1613 Feb-20 1605 Mar-20 2349 Apr-20 2468 May-20 2532 Jun-20 3127 Jul-20 3288 Aug-20 3285 Sep-20 2485 Oct-20 2723 Nov-20 1835 Dec-20 1894 Consider five years of monthly profit for a company Plot the data and discuss its…

The height (in inches) of a random sample of 28 players in NCAA Division 1 basketball teams is shown to the left.    x 75 80 75 87 77 77 67 83 77 80 73 82 73 71 80 76 72 78 68 74 74 72 76 86 77 77 78 Sum of squared x: ∑x² = ________ a 4,264,225 b 4,222,005 c 160110 d 158525

System of Equations: y=9+3z y=51−3z Value of z Value of y

Each term (3 months) the current group of economics students completed a questionnaire as to how much they would spend on new purchases compared to how much they would save/pay off bills, if they suddenly and unexpectedly received a check for $1,000. The average MPC is shown in the table below. Month in which student poll was taken Average of students’ responses as MPC March 0.41 June 0.30 September 0.22 December 0.56   What do these MPC’s imply about the students’ thinking over the course of the year?   (Enter response here.)   What is likely happening in the economy during the same period of time?

A group of participants was surveyed and the information collected shown in the partially completed contingency table below regarding the site of skin cancer. Firstly, calculate the missing values. Melanoma Other Total Head U 43 X Trunk 52 V 98 Extremities 142 112 Y Total 229 W Z Now, using the completed contingency table, select the statements from the following list that are true. Note: a statement is true only if the value you calculated from the completed contingency table, when rounded to the same number of decimal places as in the statement, is the same as the value in the statement. 18.1% of skin cancers appear on the head 71.4% of skin cancers were melanomas or appeared on the head Given the skin cancer is something other than melanoma, the probability it is not on the extremities is 0.443 Of skin cancers appearing on the trunk, 46.9% are not melanomas

Results Real Estate had 6 home sales during the week: $150,000, $140,000, $240,000, $158,000, $3,200,000, and $150,000. What is the mode?

Greenhouse gases trap heat and make the planet warmer. Human activities are responsible for almost all of the increase in greenhouse gases in the atmosphere over the last 150 years. In this part, you will draw two pie graphs. A pie graph is used to show how a certain quantity has been divided into several parts, as well as to show the comparisons among these parts. 1. The data table below shows the total U.S. greenhouse gas emissions by economic sector in 2013, in million metric tons of CO2. On the pie graph provided, complete the graph to show the percent of greenhouse gas emissions for each economic sector. Label each section of the pie graph with its economic sector. The percent for "Agriculture" has been drawn and labeled for you. Economic Sector Electricity Transportation Industry Commercial & Residential Agriculture Percent of Greenhouse Gas Emissions 31 27 21 12 9 80 75 70- 85 65 95 90 wlad Percent 0 100 Agri- culture 55 50 45 10 40 35 20 25 30

Write down the name of the sections of the report. (a) What questions are answered in each section? Write one specific question and one general question for each section.