Question

In: Statistics and Probability

Compute ?(?) for the following random variable ?: ?=Number of tosses until all 10 numbers are...

Compute ?(?) for the following random variable ?:

?=Number of tosses until all 10 numbers are seen (including the last toss) by tossing a fair 10-sided die.

To answer this, we will use induction and follow the steps below:

Let ?(?) be the expected number of additional tosses until all 10 numbers are seen (including the last toss) given ? distinct numbers have already been seen.

  1. 1. Find ?(10).

    ?(10)=?

  2. 2.

    Write down a relation between ?(?) and ?(?+1). Answer by finding the function ?(?) in the formula below.

    For ?=0,1,…,9:

    ?(?)=?(?+1)+?(?)

    where ?(?)=?

  3. 3

    Finally, using the results above, find ?[?].

    (Enter an answer accurate to at least 1 decimal place.)

    ?[?] = ?

Solutions

Expert Solution

1.

E(10) = Expected number of additional tosses until all 10 numbers are seen given 10 distinct numbers have already been seen = 0

2.

f(i) = E(i) - E(i+1) = Expected number of additional tosses until all 10 numbers are seen given i distinct numbers have already been seen - Expected number of additional tosses until all 10 numbers are seen given i+1 distinct numbers have already been seen

= Expected number of additional tosses to get the next (i+1)th distinct number given i distinct numbers have already been seen

When i distinct numbers have already been seen, remaining distinct numbers = 10 - i

Probability to find next distinct number = (10 - i) / 10

Let X be the number of trails to get the next (i+1)th distinct number. Then X ~ Geom(p = (10 - i) / 10)

E(X) = 1/p = 10/(10-i)

Thus,

f(i) = Expected number of additional tosses to get the next (i+1)th distinct number given i distinct numbers have already been seen = 10/(10-i)

3.

E[X] = E[0] = E[1] + f(0)

= E[2] + f(1) + f(0)

= E[3] + f(2) + f(1) + f(0)

.....

= E[10] + f(9) + .... + f(1) + f(0)

= 0 + f(9) + f(8) + ... + f(1) + f(0)


Related Solutions

Expectation 1 Compute ?(?) for the following random variable ? : ?=Number of tosses until getting...
Expectation 1 Compute ?(?) for the following random variable ? : ?=Number of tosses until getting 4 (including the last toss) by tossing a fair 10-sided die.          ?(?)= ? ------------------------------------------------------------------------------------------- Expectation 2 Compute ?(?) for the following random variable ? : ?=Number of tosses until all 10 numbers are seen (including the last toss) by tossing a fair 10-sided die.          To answer this, we will use induction and follow the steps below: Let ?(?)...
Expectation 1 Compute E(X) for the following random variable X : X=Number of tosses until getting...
Expectation 1 Compute E(X) for the following random variable X : X=Number of tosses until getting 4 (including the last toss) by tossing a fair 10-sided die. E(X)= ? Expectation 2 Compute E(X) for the following random variable X : X=Number of tosses until all 10 numbers are seen (including the last toss) by tossing a fair 10-sided die. To answer this, we will use induction and follow the steps below: Let E(i) be the expected number of additional tosses...
compute the sampling distribution for three tosses of an unfair coin. Assume the random variable x=1...
compute the sampling distribution for three tosses of an unfair coin. Assume the random variable x=1 if the coin is tails and x=0 if it is head. The probability of coin is head facing upward is 0.47. a) compute the mean and standard deviation of the population. b) what is the sampling distribution of the sample mean c) compute the mean and standard deviation of the sampling distribution d) as n gets large does the distribution of sample mean approach...
compute the sampling distribution for three tosses of an unfair coin. Assume the random variable x=1...
compute the sampling distribution for three tosses of an unfair coin. Assume the random variable x=1 if the coin is tails and x=0 if it is head. The probability of coin is head facing upward is 0.47. a) compute the mean and standard deviation of the population. b) what is the sampling distribution of the sample mean c) compute the mean and standard deviation of the sampling distribution d) as n gets large does the distribution of sample mean approach...
What is the expected number of rolls of a 10-sided die until 5 different numbers are...
What is the expected number of rolls of a 10-sided die until 5 different numbers are achieved?
Use a random number generator to produce 1000 uniformly distributed numbers with a mean of 10, a
Use a random number generator to produce 1000 uniformly distributed numbers with a mean of 10, a minimum of 2, and a maximum of 18. Obtain the mean and the histogram of these numbers, and discuss whether they appear uniformly distributed with the desired mean.
If x is a binomial random variable, compute P(x) for each of the following cases:
If x is a binomial random variable, compute P(x) for each of the following cases: (a) P(x≤5),n=7,p=0.3 P(x)= (b) P(x>6),n=9,p=0.2 P(x)= (c) P(x<6),n=8,p=0.1 P(x)= (d) P(x≥5),n=9,p=0.3   P(x)=  
If x is a binomial random variable, compute p(x) for each of the following cases: (a)...
If x is a binomial random variable, compute p(x) for each of the following cases: (a) n=3,x=2,p=0.9 p(x)= (b) n=6,x=5,p=0.5 p(x)= (c) n=3,x=3,p=0.2 p(x)= (d) n=3,x=0,p=0.7 p(x)=
Part (a) Write a number guessing game using System.Collections.Generic.Dictionary. Generate 10 distinct random numbers in the...
Part (a) Write a number guessing game using System.Collections.Generic.Dictionary. Generate 10 distinct random numbers in the range of 1 to 20. Each random number is associated with a prize money (from 1 to 10000). Use a Dictionary to store the mapping between the random number and the prize money. Ask user for two distinct numbers, a and b, both from 1 to 20; if a and b are not distinct, or out of range, quit the program Lookup the prize...
If x is a binomial random variable, compute ?(?) for each of the following cases: (a)  ?(?≤1),?=3,?=0.4...
If x is a binomial random variable, compute ?(?) for each of the following cases: (a)  ?(?≤1),?=3,?=0.4 ?(?)= (b)  ?(?>1),?=4,?=0.2 ?(?)= (c)  ?(?<2),?=4,?=0.8 ?(?)= (d)  ?(?≥5),?=8,?=0.6 ?(?)=
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT