Query 9

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course Mth 152

6/30

009. ``q Query 9

`q Query 12.4.3 P(2 H on 3 flips)

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Your solution:

The three flips could give eight different outcomes. hhh, hth, htt, thh, tht, hht, tth, ttt

There are only three that have only 2 heads. So the probability of only 2 heads with 3 flips is 3/8

confidence rating #$&*:3

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Given Solution:

On three flips you can get HHH, HHT, HTH, HTT, THH, THT, TTH, TTT.

Of these 8 possibilities, only 3 of them have two Heads.

Thus the probability is 3 / 8.

You can get this result without listing.

There are 2 possibilities for each flip which gives you 2*2*2 = 2^3 = 8 possible outcomes.

To get 2 `heads' you must get `heads' in exactly 2 of the 3 positions.

There are C(3, 2) = 3 possible choices of the 3 positions so the probability is C(3,2) / 2^3 = 3/8.

More generally, if you have n flips, there are C(n,r) ways to get r Heads. The value of C(n, r) appears in the n+1 row, as the r+1 entry, of Pascal's triangle.

STUDENT COMMENT:

I solved this question using the given solution for binomials, it might have been more work, but I’m guessing it’s ok?

INSTRUCTOR RESPONSE:

Your solution is fine. Make sure you also understand the given solution, which is a reasoning process as opposed to a formula. From your previous work I'm confident you do.

Knowing how the formula represents the reasoning process, you can then use the formula with confidence.

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: What is the significance of .5^2 * .5 for this question?

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Your solution:

You have the probability of .5 for each of the three independent events. So the probability of getting a certain outcome is this mathematical problem. I guess that squaring the .5 means that you are looking for a particular outcome to be the same, which in the previous problem would have to be two heads. Then the (times 5) would be the probability of getting the other choice, or in this case, getting a tail on the third flip.

confidence rating #$&*:2

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Given Solution:

.5^2 is the probability of getting Heads twice in a row.

.5 is the probability of a Tails.

.5^2 * .5 is therefore the probability of getting HHT.

Since the probabilities are independent, you have the same probability of getting two Heads and a Tail in some different order.

Since there are C(3,2) possible orders for 2 Heads on 3 coins, the probability of getting 2 Heads and one Tail is

C(3,2) * .5^2 * .5 = 3 * .125 = .375,

the same as the 3/8 we obtained by listing.

Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `q Query 12.4.6 P(>= 1 H on 3 flips) Give the requested probability and explain how you obtained your result.

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Your solution: To get at least one head on three flips, the probability would be the probability of getting no heads subtracted from 1. So, .5 * .5 * .5 = .125 and subtracting that from 1 = .875

confidence rating #$&*:3

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Given Solution:

Probability of getting no heads on three flips is P(TTT) = .5 * .5 * .5 = .125, or 1/8, obtained by multiplying the probability of getting a tails for each of 3 independent flips.

Subtracting this from 1 gives .875, or 7/8.

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Self-critique (if necessary): OK

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Self-critique Rating:OK

Query 12.4.15 P(3 H on 7 flips) Give the requested probability and explain how you obtained your result.

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Your solution:

I used Pascal's Triangle as asked in the text and got the probability fraction. The fraction I got was 35/128.

confidence rating #$&*: 2

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Given Solution:

There are C(7,3) = 7 * 6 * 5 / 3! = 35 ways to choose three of the 7 `positions' for Heads on 7 flips. So there are C(7,3) = 7 * 6 * 5 / 3! = 35 ways to get three heads on 7 flips.

The probability of any of these ways is (1/2)^3 * (1/2)^4 = 1 / 2^7 = 1 / 128.

The probability of 3 Heads on 7 flips is therefore 35 * 1/128 = 35 / 128. **

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Self-critique (if necessary): Looking over the given solution, I should not have used Pascal's Triangle, but rather the formula for combinations.

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Self-critique Rating: OK

@&

Unless otherwise specified, either is OK. Both give identical results.

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`q Query 12.4.21 P(1 success in 3 tries), success = 4 on fair die

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Your solution:

Using the binomial probability formula, n = independent trials; p = probability of success; q = probability of failure

P(x) =n!/x!(n-x)! * p^x q^(n-x)

x = 1

q = 5/6

p = 1/6

n = 3

P(1) = 3!/2! * 1/6 * (5/6)^2

= 6/2 * (1/6) * (5/6)^2

= 3 * (1/6) * (5/6)^2

= (1/2) * (5/6)^2

= 25/72

confidence rating #$&*:2

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Given Solution:

To get 1 success on 3 tries you have to get 1 success and 2 failures. On any flip the probability of success is 1/6 and the probability of failure is 5/6.

For any ordered sequence with 1 success and 2 failures the probability is 1/6 * (5/6)^2. Since there are C(3,1) = 3 possible orders in which exactly 1 success can be obtained, the probability is

C(3,1) * 1/6 * (5/6)^2 = 3 * 1/6 * 25 / 36 = 75 / 216 = 25 / 72.

This matches the binomial probability formula C(n, r) * p^r * q^(n-r), with prob of success p = 1/6, prob of failure q = 1 - 1/6 = 5/6, n = 3 trials and r = 1 success. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

`q Query 12.4.33 P(exactly 7 correct answers), 3-choice mult choice, 10 quest. What is the desired probability?

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Your solution:

The probability of getting the correct answer from rolling the die is 1/3

Using the Binomial Probability Formula,

p = 1/3

q = 2/3

x = 7

n = 10

P(7) = 10!/(7! * 3!) * (1/3)^7 * (2/3)^3

= 120 * (1/2187) * (8/27)

= 320/19683

confidence rating #$&*: 2

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Given Solution:

The probability of a correct answer from a random choice on any single question is 1/3.

For any sequence of 7 correct answers and 3 incorrect the probability is (1/3)^7 * (2/3)^3.

There are C(10,7) possible positions for 7 correct answers among 10 questions.

So the probability is C(10,7) * (1/3)^7 * (2/3)^3 = 320/19683 = 0.0163 approx.

This matches the binomial probability formula C(n, r) * p^r * q^(n-r), with prob of success p = 1/3, prob of failure q = 1 - 1/3 = 2/3, n = 10 trials and r = 7 success.

ANOTHER SOLUTION:

There are C(10,7) ways to distribute the 7 correct answers among the 10 questions. The probability of any single outcome with 7 successes and 3 failures is the product of (1/3)^7, representing 7 successes, and (2/3)^3, representing 3 failures.

The probability of exactly seven correct questions is therefore

prob = C(10,7) * (2/3)^3 * (1/3)^7 . **

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Self-critique (if necessary): I do not know when to change to a decimal or leave as a fraction.

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Self-critique Rating: OK

@&

It's best to give the exact result, which will typically be a fraction, then the decimal equivalent.

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`q Query 12.4.39 P(more than 2 side effect on 8 patients), prob of side effect .3 for each

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Your solution:

The probability of no side effects is 1 * .7^8

The probability of 1 side effect is 8 * .7^7 * .3

The probabity of 2 side effects is 28 * .y^6 * .3^2

From there, I do not know where to go. I know that you would have to subtract these from 1 to get the probability of more than 2 side effects.

confidence rating #$&*:1

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Given Solution:

`aThe probability of 0 side effects is C(8,0) * .7^8.

The probability of 1 side effect is C(8,1) * .7^7 * .3^1.

The probability of 2 side effects is C(8,2) * .7^6 * .3^2.

The sum of these two probabilities is the probability that two or fewer patients will have side effects.

We subtract this probability from 1 to get the probability that more than 2 will experience side effects.

The result is approximately .448.

DER**

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Self-critique (if necessary): I do not understand this problem.

@&

If you subtract the probability of side effects on 2 or fewer partients from 1, you get the complementary probability, which is the probability that more than two patients experience side effects.

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`q Query 12.4.48 P(4 th child is 1 st daughter) What is the probability that the fourth child is the first daughter and how did you obtain your result?

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Your solution:

I started by drawing up a sample space: dddd, ddds, ddss, dsss, dsds, dsdd, ddsd, dssd, sddd, ssdd, sssd, sdsd, ssss, sdds, sdss, ssds

The only choice in which the fourth child is the first daughter is sssd. Only one choice is that out of 16 choices, so probability is 1/16

confidence rating #$&*:3

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Given Solution:

`aThe fourth child will be the first daughter if the sequence is SSSD, S standing for son and D for daughter.

The probability of S on any birth is .5, and the probability of G is .5.

The probability of SSSD is .5^3 * .5 = .0625 or 1/16. **

`q Query 12.4.54 10-step rnd walk, 1 dim; P(6 South) What is the probability of ending up 6 blocks South of the starting point and how did you obtain it?

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Your solution:

If taking this trip, and end up 6 blocks south, you would have to have 8 steps south and 2 steps north. The only ways you can get this

combination would be using the binomial probability formula.

P = 10!/8!*(2!) * (1/2)^8 * (1/2)^2 =

90/2 * (1/2)^10 =

45 * 1/1024 =

45/1024

confidence rating #$&*:3

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Given Solution:

To end up 6 blocks South requires 8 steps South and 2 steps North. Thus exactly 8 of the 10 steps must be South, and there are C(10,8) ways for this to happen.

The probability of any given combination of 8 South and 2 North is (1/2)^8 * (1/2)^2 = 1 / 2^10 = 1 / 1024.

The probability of ending up 6 blocks South is therefore

prob = C(10,8) * (1/2)^8 * (1/2)^2 = 45 * (1/2)^10 = 45 / 1024, or about .044. **

STUDENT QUESTION: Do we find the 8 steps South and 2 steps North by trial and error?

INSTUCTOR RESPONSE: You have to take 10 steps, each north or south. If n stands for the number of steps north and s for the number of steps south, then n and s add up to 10, while the net number of steps south is s - n. We could even up the system of equations

n + s = 10

s - n = 6.

and solve for n and s. However if you think about the situation, the answer is fairly obvious, so I didn't complicate the solution with the details of this reasoning. Instead I just made the assertion 'To end up 6 blocks South requires 8 steps South and 2 steps North.'

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Self-critique (if necessary): OK

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Self-critique Rating: OK

Query Add comments on any surprises or insights you experienced as a result of this assignment.

I believe I have a better understanding of use of the binomial probability formula.

"

Self-critique (if necessary):

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Self-critique rating:

Query Add comments on any surprises or insights you experienced as a result of this assignment.

I believe I have a better understanding of use of the binomial probability formula.

"

Self-critique (if necessary):

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Self-critique rating:

#*&!

&#Your work looks good. See my notes. Let me know if you have any questions. &#