What is the energy density of the three fossil fuels (coal, natural gas, oil)? Express your answer in both joules per kg and kilowatt-hours (kwh) per kg. Calculate the CO2 emitted per kwh of energy produced. Rank the three fossil fuels from highest to lowest emission of CO2.

1. Exactly when is the electric power generated that you use in homes in Canada?

2. What is the underlying reason that the typical voltage of most battery cells is in the

   order of some Volts and not significantly higher?

3. Typical metals have an increased resistance at higher temperatures. For a usual

   incandescent light bulb, when does the highest current flow?

In order to produce a new product, a firm must lease equipment at a cost of $115,000 per year. The managers feel that they can sell 53,000 units per year at a price of $78. What is the highest variable cost that will allow the firm to at least break even on this project? (Round your answer to 2 decimal places.)

Matching:

__ Up-selling

__ Price Skimming

__ Price Elasticity

__ Sweepstakes

Hugo’s daughter, Wanda, completed her senior year of college in the current year. Hugo paid $5,0000 in qualified education expenses for Wanda in the current year. Hugo is a MFJ taxpayer and has an AGI of $60,000 for the current year. What, if any, education credit will provide Hugo the highest credit and how much is that credit?

If you draw a card with a value of three or less from a standard deck of cards, I will pay you $47. If not, you pay me $12. (Aces are considered the highest card in the deck.)

)  

Find the expected value of the proposition. Round your answer to two decimal places. Losses must be expressed as negative values

1. Name and define the needs at each level of Maslow’s hierarchy of needs, in order from lowest needs to highest needs. Describe a time in your (or a friend’s) life when (1) a “higher” motive had to wait until a “lower” motive was met, and (2) a “higher” motive occurred before a “lower” need was met.

The technique for calculating a bid price can be extended to many other types of problems. Answer the following questions using the same technique as setting a bid price; that is, set the project NPV to zero and solve for the variable in question. Guthrie Enterprises needs someone to supply it with 155,000 cartons of machine screws per year to support its manufacturing needs over the next five years, and you’ve decided to bid on the contract. It will cost $1,950,000 to install the equipment necessary to start production; you’ll depreciate this cost straight-line to zero over the project’s life. You estimate that in five years this equipment can be salvaged for $165,000. Your fixed production costs will be $280,000 per year, and your variable production costs should be $10.90 per carton. You also need an initial investment in net working capital of $145,000. The tax rate is 25 percent and you require a return of 14 percent on your investment. Assume that the price per carton is $17.50.

a. Calculate the project NPV. (Do not round intermediate calculations and round your answer to 2 decimal places, e.g., 32.16.)

b. What is the minimum number of cartons per year that can be supplied and still break even? (Do not round intermediate calculations and round your answer to the nearest whole number, e.g., 32.)

c. What is the highest fixed costs that could be incurred and still break even? (Do not round intermediate calculations and round your answer to 2 decimal places, e.g., 32.16.)

We are interested in examining the relationship between the number of calories people consume and weight. We randomly selected 200 people and presented the data with explanatory (x) variable being the calories consumed and the response (y) variable being their weight.

Regression analysis will be good for this problem because it helps us find trends in data and quantify the results. It can also help us make predictions about data. So as long as the requirements are met for inference on the least-squares regression model, then the regression analysis is good to use for the proposed problem, the requirements are:

• For any value of the explanatory variable x, the mean of the corresponding response variable y in the population depends linearly on x, or said differently, there is a straight-line relation between x and y
• The response variable is normally distributed. You can check this by using the data you have and using StatCrunch to draw a residual plot, if the residual plot shows any discernable pattern, like a U-shape, then you would be violating rule number 1 and a regression analysis would not be appropriate

We want to determine the Y value because that will allow us to determine the relationship for the X value that we have, and that in turn will allow us to predict values for X where we have no measurement.

If we want to predict a value of Y that’s beyond the highest value of X, we can use our regression analysis as long as we can assume the relationship continues to be linear.

Discuss the meaning of the standard error of the estimate and how it affects the predicted values of Y for that analysis.