Question

In: Statistics and Probability

Consider the problem from Lecture 4, “Search, Sampling and Independence.” Assume that the distribution of prices...

Consider the problem from Lecture 4, “Search, Sampling and Independence.” Assume that the distribution of prices from which the consumer draws is (i) discrete and (ii) Uniformly distributed with N possible stores/prices from which to draw.
(a) If the consumer is lost in the mall and doesn’t remember the last store he visited (i.e. the last price he drew) and so cannot avoid the possibility of returning to the same store, are successive price draws dependent or independent?
(b) If the consumer is lost in the mall and does remember the last store he visited (i.e. the last price he drew) and so can avoid the possibility of returning to the same store, are successive price draws dependent or independent?

Solutions

Expert Solution

Answer:

(a) If the consumer is lost in the mall and doesn’t remember the last store he visited (i.e. the last price he drew) and so cannot avoid the possibility of returning to the same store, are successive price draws dependent or independent?

Answer:

Consumer is lost in the mall and he doesn't remember the last stage he visited.Therefore,  the successive draws will be dependent,since  flake is still probability that he can visit he same store, and this is the all other probability

On uniform distribution
p(X=x) =1/N

(b) If the consumer is lost in the mall and does remember the last store he visited (i.e. the last price he drew) and so can avoid the possibility of returning to the same store, are successive price draws dependent or independent?

Answer:

If he  does remember the last store he visited then he will avoid to visit at this store,success price draw will be independent of visiting the store.


Related Solutions

4. Let’s assume a researcher is creating a sampling distribution for the exam scores of introduction...
4. Let’s assume a researcher is creating a sampling distribution for the exam scores of introduction to marketing course finals for the last 10 years that were taken at Wayne State University. Let’s us assume that the sample size is 225.What is the standard error? How do we interpret that number? 5. Let’s now estimate the population mean with a 95% level of confidence. In other words, compute a range such that you are 95% confident that this range will...
Sampling distribution question State the definition of sampling distribution? Let’s assume that we have a Bernoulli...
Sampling distribution question State the definition of sampling distribution? Let’s assume that we have a Bernoulli random variable X, X = a with probability 0.78, X = b with probability 0.22,   Where a and b are the third and fourth digit of your student number, respectively.(a=9,b=9) Develop a sampling distribution for sample means of the Bernoulli distribution when the sample size is 6 What is the expected value of sample means in question 3.b? What is the variance of the...
Assume no storage costs in this problem. Also, assume continuous compounding. Consider the following forward prices...
Assume no storage costs in this problem. Also, assume continuous compounding. Consider the following forward prices on an investment asset Forward prices (cents/unit of the asset) as of February Mar 270.25 May 275.25 Use the above information on March and May forward prices to determine the spot price of the asset and risk-free rate in February at which there should be no profitable arbitrage opportunities. Now let us assume that the observed risk-free rate is different from your answer to...
Problem 7.24 What is the difference between a population distribution and a sampling distribution?
Problem 7.24 What is the difference between a population distribution and a sampling distribution?
lets work on problem 1 from lecture notes 4 as our example. A particle with a...
lets work on problem 1 from lecture notes 4 as our example. A particle with a mass of 5.00 grams and a charge of 4 microcoulombs has a speed of 0.75 m/s when it passes through a point at which the potential is -1200 volts electron and a proton are released form rest in a uniform electric field that has a magnitude of 500 N/C. The energy and speed of each particle is measured after it has moved through a...
Demonstrate that a sampling distribution of n=4 vs n=20 from a right skewed population distribution approaches...
Demonstrate that a sampling distribution of n=4 vs n=20 from a right skewed population distribution approaches normality as the sample size increases. In other words, show the Central Limit Theorem works for a “reasonably large” sample size. Create a population that follows an exponential distribution where the default rate (λ) =1. The population is say N=100,000. Note(s): Use the set.seed function and see how these results might change with different seed number. The suggested number of 100 samples is actually...
Demonstrate that a sampling distribution of n=4 vs n=20 from a right skewed population distribution approaches...
Demonstrate that a sampling distribution of n=4 vs n=20 from a right skewed population distribution approaches normality as the sample size increases. In other words, show the Central Limit Theorem works for a “reasonably large” sample size. Create a population that follows an exponential distribution where the default rate (λ) =1. The population is say N=100,000. Note(s): Use the set.seed function and see how these results might change with different seed number. The suggested number of 100 samples is actually...
Consider the problem from Lecture 5 “Fracking in the Permian Basin.” Denote by X oil production...
Consider the problem from Lecture 5 “Fracking in the Permian Basin.” Denote by X oil production in New Mexico and by Y oil production in Texas. Let the joint distribution of X and Y be given by f(x,y) = 4xy for x,y ∈ [0,1] (a) Show that f(x,y) is a valid joint density function. (b) Find the marginal density function for X. (c) Find the conditional density function for X. (d) Find P(X ≤ 1 2|Y ≥ 3 4) (e)...
Assume the distribution of home selling prices follows a normal distribution. for this area the mean...
Assume the distribution of home selling prices follows a normal distribution. for this area the mean selling price is $95,140 and the standard deviation of the selling price is $13,100. Let S be the home selling price. For a randomly selected home find P(S>$100,000). The answer is approx. = .6447. I just really need to know how to set this question up in a TI-84 calculator PLEASE! It's urgent!
Describe the sampling distribution of ModifyingAbove p with caret. Assume the size of the population is...
Describe the sampling distribution of ModifyingAbove p with caret. Assume the size of the population is 15 comma 000. nequals200​, pequals0.4 Choose the phrase that best describes the shape of the sampling distribution of ModifyingAbove p with caret below. A. Approximately normal because n less than or equals 0.05 Upper N and np left parenthesis 1 minus p right parenthesis less than 10. B. Not normal because n less than or equals 0.05 Upper N and np left parenthesis 1...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT