Hillquery9

course Mth 152

K??z??m??????assignment #009009. `Query 9

Liberal Arts Mathematics II

10-04-2008

......!!!!!!!!...................................

19:14:15

Query 12.4.3 P(2 H on 3 flips)

......!!!!!!!!...................................

RESPONSE -->

Three Flips = eight possibilities

TTT,Thh, ThT, TTh, HHH,Htt, HtH, HHt

Three have exactly 2 heads in three of the eight possibilities so 3/8

.................................................

......!!!!!!!!...................................

19:14:23

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

If you have n flips, there are C(n,r) ways to get r Heads. This number appears in the n+1 row, as the r+1 entry, of Pascal's triangle. **

......!!!!!!!!...................................

RESPONSE -->

o.k.

.................................................

......!!!!!!!!...................................

19:16:43

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

......!!!!!!!!...................................

RESPONSE -->

???????????????

.................................................

......!!!!!!!!...................................

19:17:29

** .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. **

......!!!!!!!!...................................

RESPONSE -->

I'll have to go back on this one

.................................................

......!!!!!!!!...................................

19:20:04

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

......!!!!!!!!...................................

RESPONSE -->

hhh, hht, htt, hth, ttt, tth, tht, thh

the probability of getting one head on three flips is 3/8

.................................................

......!!!!!!!!...................................

19:21:12

** 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. **

......!!!!!!!!...................................

RESPONSE -->

.................................................

......!!!!!!!!...................................

19:37:18

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

......!!!!!!!!...................................

RESPONSE -->

There would be (7,3) ways to get three heads in seven flips.

7 x 6 x 5 / 3 x 2 x1 = 210/6=35 ways to get 3 heads.

The possibility of getting any of these 35 ways is

P = 1 - P^ x 7

I know this is not right but I am lost

.................................................

......!!!!!!!!...................................

19:39:36

** 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. **

......!!!!!!!!...................................

RESPONSE -->

Does (1/2)^3 * (1/2)^4 mean the possibility of getting three x the possibility of not getting 3 out of the seven flips?

(1/2)^3 represents the probability of getting 3 'heads' in 3 given positions among the 7 flips.

(1/2)^4 represents the probability of getting 4 'tails' in 4 given positions among the seven flips.

So (1/2)^3 * (1/2)^4 represents the probability of getting 3 'heads' in 3 given positions among the 7 flips, and getting 'tails' in the remaining 4 positions.

There are C(7, 3) possible positions among the 7 flips for the three 'heads', and each combination of positions dictates the positions of the 4 'tails'. So there are

C(7, 3) * (1/2)^3 * (1/2)^4 ways to get three 'heads' on 7 flips.

.................................................

......!!!!!!!!...................................

19:54:46

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

......!!!!!!!!...................................

RESPONSE -->

P of getting 4 is 1/6 P of not getting 4 is 5/6

three tries( 3,1) x 1/6 x 5/6 x 2 =

( 6 x 1/6 ) x( 5/6 x 2)

1 x 5/6 x5/6=

25/36

.................................................

......!!!!!!!!...................................

19:54:53

** 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 = 4 * 1/6 * 25 / 36 = 100 / 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. **

......!!!!!!!!...................................

RESPONSE -->

o.k.

.................................................

......!!!!!!!!...................................

20:02:16

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

......!!!!!!!!...................................

RESPONSE -->

P(10,7) ????????????????

.................................................

......!!!!!!!!...................................

20:02:51

** 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 . **

......!!!!!!!!...................................

RESPONSE -->

o.k

.................................................

......!!!!!!!!...................................

20:04:36

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

......!!!!!!!!...................................

RESPONSE -->

?????????????????????

I don't know but some how I'm not getting this. I worked all the problems in the text.

.................................................

......!!!!!!!!...................................

20:05:18

** The 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**

......!!!!!!!!...................................

RESPONSE -->

As I said before , I'm drawing a blank but I will redo the work in the text

.................................................

......!!!!!!!!...................................

20:11:40

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?

......!!!!!!!!...................................

RESPONSE -->

On a birth there is a 1/2 chance of a boy and a 1/2 chance of being a girl so the possibility of being a b,b,b,g or a girl being the fourth child 1/2 x 1/2 x 1/2x1/2= 1/16

.................................................

......!!!!!!!!...................................

20:11:46

** The 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. **

......!!!!!!!!...................................

RESPONSE -->

o.k.

.................................................

......!!!!!!!!...................................

20:12:57

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?

......!!!!!!!!...................................

RESPONSE -->

????????????????????

.................................................

......!!!!!!!!...................................

20:13:02

** 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. **

......!!!!!!!!...................................

RESPONSE -->

o.k.

.................................................

......!!!!!!!!...................................

20:13:48

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

......!!!!!!!!...................................

RESPONSE -->

No comments but lots of surprises in that I didn't understand as well as I thought I did.

.................................................

"

The most important idea in this section is the binomial formula, which says that there are

C(n, r) * p^r * q^(n - r), where q = (1 - p)

ways to get r successes on n trials. p is the probability of success on any given trial, and q = 1 - p is the probability of failure on any given trial. If there are n trials and r successes, then n - r is the number of failures. C(n, r) is the number of different ways to positions of the r successes can be distributed among the n possible positions.