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(a) A loaded die has probabilities121,221,321,421,521,621of showing 1, 2, 3, 4, 5, 6.What is the probability of throwing two 3’s in succession?

(b) What is the probability of throwing a 4 the first time and not a 4 the second

Time with a die loaded as in (a)?

(c) If two dice loaded as in (a) are thrown, and we know that the sum of the

numbers on the faces is greater than or equal to 10, what is the probability

That both are 5s?

(d) How many times must we throw a die loaded as in (a) to have probability greater than 12of getting an ace?

(e) Adie, loaded as in (a), is thrown twice. What is the probability that thenumber on the die is even the first timethe second time?

Short Answer

Expert verified

Answer

(a) The probability of throwing two 3’s in succession is 149.

(b) The probability of throwing a 4 the first time and not a 4 the second time is 66441.

(c) The probability that both are 5’s when the sum of the numbers on the faces is greater than or equal to 10 is 25169.

(d) The number of times must we throw a die to have probability greater than half of getting an ace is 15.

(e) The probability that the number on the die is even the first time, greater than 4 in the second time is44147.

Step by step solution

01

Given Information

A loaded dice which has a probability of getting 1, 2, 3, 4, 5 and 6 as121,221,321,421,521,621..

02

Definition of Independent Event

The events are said to be independent when the occurrence or non-occurrence of any event does not have any effect on the occurrence or non-occurrence of the other event.

When events are independent, apply the formula PAB=PA·PBwhere A and B are the events.

03

Creating Sample Space for experiment when two die are rolled

When two die are rolled, there are 36 points in the sample space.

Find the sample space for the given problem.

1,11,21,31,41,51,62,12,22,32,42,52,63,13,23,33,43,53,64,14,24,34,44,54,65,15,25,35,45,55,66,16,26,36,46,56,6

04

Finding the probability of throwing two 3’s in succession

When two 3s are to come in succession, the probability will be 321×321-149

Thus the required probability is 149.

05

Finding probability of throwing a 4 the first time and not a 4 the second time

The probability of throwing a 4 is 421and not throwing a 4 is 1-421=1721.

Find the probability of throwing a 4 the first time and not a 4 the secondtime.

421×1721-68441.

Thus the required probability is 68441.

06

Finding the probability that both are 5’s when the sum of the numbers on the faces is greater than or equal to 10

It can be observed that the point in the sample space that has sum greater than or equal to 10 are 4,6,6,4,5,5,5,6,6,5.

Find the probability that the sum of the numbers on the faces is greater than or equal to 10.

421×621+621×521×521+521+621×521+621×621=169441

Find the probability that both numbers are 5.

521×521=25441

Find the probability that both are 5’s when the sum of the numbers on the faces is greater than or equal to 10 using the formula PAB=PABPA.

P5,5=25441169=44125169

Thus the required probability is 25169.

07

Finding the number of times must we throw a die to have probability greater than half of getting an ace

The probability of not getting a one on the die is2021. Similarly, the probability of not getting n-ones is 2021n.

This implies that the probability of getting a one at least one time is 1-2021n.

To have the probability more than half, 1-2021n>12.

Solve the obtained inequality to obtain the value of n.

1-2021n>121>2021nIn12>nln2021n<In12In2021<14.203

The obtained value is not a whole number; thus we can assume that the required number of throws will be 15.

08

Finding the probability that the number on the die is even the first time, greater than 4 in the second time

It can be observed that the point in the sample space that has sum greater than or equal to 10 are 2,5,2,6,4,5,4,6,6,4,6,6.

Find the probability that the number on the die is even the first time, greater than 4 in the second time

221×521+221×621+421×521+421×621+521+621×621=132441=44147

Thus the required probability is 44147.

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Most popular questions from this chapter

A letter is selected at random from the alphabet. What is the probability that it is one of the letters in the word “probability?” What is the probability that it occurs in the first half of the alphabet? What is the probability that it is a letter after x?

Some transistors of two different kinds (call them N and P) are stored in two boxes. You know that there are 6 N’s in one box and that 2 N’s and 3 P’s got mixed in the other box, but you don’t know which box is which. You select a box and a transistorfrom it at random and find that it is an N; what is the probability that it came from the box with the 6 N’s? From the other box? If another transistor is picked from the same box as the first, what is the probability that it is also an N?

(a) Following the methods of Examples 3,4,5, show that the number of equally likely ways of putting N particles in n boxes,n>N, nNisfor Maxwell Boltzmann particles, C(n,N)for Fermi-Dirac particles, C(n1+N,N)andfor Bose-Einstein particles.

(b) Show that if n is much larger than N (think, for example, ofn=106,N=10), then both the Bose-Einstein and the Fermi-Dirac results in part (a) contain products of N numbers, each number approximately equal to n. Thus show that for n N, both the BE and the FD results are approximately equal tonNN!which is1N!times the MB result.

Set up an appropriate sample space for each of Problems 1.1 to 1.10 and use itto solve the problem. Use either a uniform or non-uniform sample space or try both.

You are trying to find instrument A in a laboratory. Unfortunately, someone has put both instruments A and another kind (which we shall call B) away in identical unmarked boxes mixed at random on a shelf. You know that the laboratory has 3 A’s and 7 B’s. If you take down one box, what is the probability that you get an A? If it is a B and you put it on the table and take down another box, what is the probability that you get an A this time?

Find the number of ways of putting2particles in4boxes according to the three kinds of statistics.

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