--%>

Problem on income probability

Kramer spends all of his income  $270  on two products, soup (S) and on golf balls (G). He always bought 2 golf balls for every 1 cup of soup he consumes. He acquires no additional utility from the other cup of soup unless he as well gets 2 more golf balls and he gets no additional utility from the other golf ball unless he as well gets another 1/2 cup of soup.

a. To Kramer, soup and golf balls are (circle 1):

Perfect Substitutes         Perfect Complements         Neither

b. Assume the price of soup is $5 per cup and the price of golf balls is $2 per ball.  Clearly indicate Kramer’s utility maximizing bundle of soup and golf balls on the graph.  Determine How many cups of soup and how many number of golf balls does he consume?

Quantity of soup = _________    Quantity of golf balls = __________

   Related Questions in Advanced Statistics

  • Q : Discrete and continuous data

    Distinguish between discrete and continuous data in brief.

  • Q : Grouped Frequency Distributions Grouped

    Grouped Frequency Distributions: Guidelines for classes: A) There must be between 5 to 20 classes. B) The class width must be an odd number. This will assure that the class mid-points are integers rather than decimals. C) The classes should be mutually exclusive. This signifies that no data valu

  • Q : Bayesian Point Estimation What are the

    What are the Bayesian Point of estimation and what are the process of inference in Bayesian statistics?

  • Q : Binomial distribution 1) A Discrete

    1) A Discrete random variable can be described as Binomial distribution if is satisfies four conditions, Briefly discuss each of these conditions2) A student does not study for a multiple choice examination and decides to guess the correct answers, If the

  • Q : Probability problem A) What is the

    A) What is the probability of getting the following sequence with a fair die (as in dice):B) What is the probability of getting the same sequence with a die that is biased in the following way: p(1)=p(2)=p(3)=p(4)=15%;

  • Q : Components of time series Name and

    Name and elaborate the four components of time series in brief.

  • Q : Pearsons correlation coefficient The

    The table below illustrates the relationship between two variable X and Y. A

  • Q : Probability of Rolling die problem A

    A fair die is rolled (independently) 12 times. (a) Let X denote the total number of 1’s in 12 rolls. Find the expected value and variance of X. (b) Determine the probability of obtaining e

  • Q : Non-parametric test what is the

    what is the appropriate non-parametric counterpart for the independent sample t test?

  • Q : Correlation Define the term Correlation

    Define the term Correlation and describe Correlation formula in brief.