Please help me Part 1: Educational Costs
1. What is your top career choice?
2. Using the Occupational Outlook Handbook, what are the educational requirements for
that career? Include information about the type of degree or certification needed (if
applicable)
3. After reading the lesson, conducting your own research, and talking with family, how do
you plan to finance your future education?
4. What is the estimated cost of training or future education to achieve your career goal?
To determine this cost, research institutions you could attend and their associated costs
by visiting the College Navigator link.
5. Why is it important to think about these financial costs now?

Select the correct answer. ramon applied to the state university in the city where he lives, but he was denied admission. what should he do now? a.change his mind about graduating and drop out of high school so he can start working right away. b. decide not to go to college, because he didn’t have a backup plan. c.stay positive and write a mean letter to let the college know that they made a bad decision. d. learn from this opportunity, reevaluate his options, and apply to his second and third choices.

David consumes two things: gasoline (g) and bread (b). david's utility function is u(g, b) = 10g^0.25 b^0.75. use the lagrange technique to solve for david's optimal choices of gasoline and bread as a function of the price of gasoline, p_g, the price of bread, p_b, and his income m. with recent decrease in the price of gasoline (maybe due to external shock such as shale gas production) does david increase his consumption of gasoline? for david, how does partial differential g/partial differential p_g depend on his income m? that is, how does david's change in gasoline consumption due to an increase in the price of gasoline depend on his income level? to answer these questions, find the cross-partial derivative, |partial differential^2 g/partial differential m partial differential p_g.

Which is the most compelling reason why mobile advertising is related to big data?