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A thick coin has probability 37of falling heads, 37of falling tails, and 17of standing one edge. Show that if it is tossed repeatedly it has probability 1 of

Eventually standing on edge.

Short Answer

Expert verified

Answer

The probability that the coin stands on the edge is 1.

Step by step solution

01

Given Information

A thick coin has probability 37of falling heads, 37of falling tails, and17 of standing on edge.

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.

03

Finding the probability that the coin lands on edge

The probability that the coin doesn’t land on edge is 67and when the toss is done -times, the probability of not falling on edge is 67n.

This implies that the probability of landing on edge at least one time is1-67n.

As the number of tosses increase the value of 67ngets closer to 0 and the probability eventually becomes 1.

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Most popular questions from this chapter

(a) There are 10 chairs in a row and 8 people to be seated. In how many ways can this be done?

(b) There are 10 questions on a test and you are to do 8 of them. In how many

Ways can you choose them?

(c) In part (a) what is the probability that the first two chairs in the row are vacant?

(d) In part (b), what is the probability that you omit the first two problems in the

test?

(e) Explain why the answer to parts (a) and (b) are different, but the answers to

(c) and (d) are the same.

Two dice are thrown. Use the sample space (2.4) to answer the following questions.

(a) What is the probability of being able to form a two-digit number greater than

33 with the two numbers on the dice? (Note that the sample point 1, 4 yields

the two-digit number 41 which is greater than 33, etc.)

(b) Repeat part (a) for the probability of being able to form a two-digit number

greater than or equal to 42.

(c) Can you find a two-digit number (or numbers) such that the probability of

being able to form a larger number is the same as the probability of being able

to form a smaller number? [See note part (a)]

Define s by the equation.s2=(1/n)i=1n(xix¯)2Show that the expected valueof.s2is[(n1)/n]σ2Hints: Write

(xix¯)2=[(xiμ)(x¯μ)]2=(xiμ)22(xiμ)(x¯μ)+(x¯μ)2

Find the average value of the first term from the definition ofσ2and the average value of the third term from Problem 2. To find the average value of the middle term write

(x¯μ)=(x1+x2++xnnμ)=1n[(x1μ)+(x2μ)++(xnμ)]

Show by Problemthat

E[(xiμ)(xjμ)]=E(xiμ)E(xjμ)=0   forij

andevaluate6.14 (same as the first term). Collect terms to find

E(s2)=n1nσ2

(a) Acandy vending machine is out of order. The probability that you get a candybar (with or without return of your money) is12, the probability that you getyour money back (with or without candy) is 12, and the probability that youget both the candy and your money back is 112. What is the probability that youget nothing at all? Suggestion: Sketch a geometric diagram similar to Figure 3.1, indicate regions representing the various possibilities and their probabilities; then set up a four-point sample space and the associated probabilities of the points.

(b) Suppose you try again to get a candy bar as in part (a). Set up the 16-point

sample space corresponding to the possible results of your two attempts tobuy a candy bar, and find the probability that you get two candy bars (andno money back); that you get no candy and lose your money both times; thatyou just get your money back both times.

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.

A shopping mall has four entrances, one on the North, one on the South, and twoon the East. If you enter at random, shop and then exit at random, what is theprobability that you enter and exit on the same side of the mall?

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