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# Binomial

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### Binomial

1. 1. Binomial Distributions Warm Up Lesson Presentation Lesson Quiz
2. 2. Warm Up Expand each binomial. 1. ( a + b ) 2 2. ( x – 3 y ) 2 Evaluate each expression. 3. 4 C 3 4. (0.25) 0 5. 6. 23.2% of 37 a 2 + 2 ab + b 2 x 2 – 6 xy + 9 y 2 4 1 8.584
3. 3. Use the Binomial Theorem to expand a binomial raised to a power. Find binomial probabilities and test hypotheses. Objectives
4. 4. Binomial Theorem binomial experiment binomial probability Vocabulary
5. 5. You used Pascal ’ s triangle to find binomial expansions in Lesson 6-2. The coefficients of the expansion of ( x + y ) n are the numbers in Pascal ’ s triangle, which are actually combinations.
6. 6. The pattern in the table can help you expand any binomial by using the Binomial Theorem .
7. 7. Example 1A: Expanding Binomials Use the Binomial Theorem to expand the binomial. ( a + b ) 5 The sum of the exponents for each term is 5. ( a + b ) 5 = 5 C 0 a 5 b 0 + 5 C 1 a 4 b 1 + 5 C 2 a 3 b 2 + 5 C 3 a 2 b 3 + 5 C 4 a 1 b 4 + 5 C 5 a 0 b 5 = 1 a 5 b 0 + 5 a 4 b 1 + 10 a 3 b 2 + 10 a 2 b 3 + 5 a 1 b 4 + 1 a 0 b 5 = a 5 + 5 a 4 b + 10 a 3 b 2 + 10 a 2 b 3 + 5 ab 4 + b 5
8. 8. Example 1B: Expanding Binomials (2 x + y ) 3 (2 x + y ) 3 = 3 C 0 (2 x ) 3 y 0 + 3 C 1 (2 x ) 2 y 1 + 3 C 2 (2 x ) 1 y 2 + 3 C 3 (2 x ) 0 y 3 = 1 • 8 x 3 • 1 + 3 • 4 x 2 y + 3 • 2 xy 2 + 1 • 1 y 3 = 8 x 3 + 12 x 2 y + 6 xy 2 + y 3 Use the Binomial Theorem to expand the binomial.
9. 9. In the expansion of ( x + y ) n , the powers of x decrease from n to 0 and the powers of y increase from 0 to n . Also, the sum of the exponents is n for each term. (Lesson 6-2) Remember!
10. 10. Check It Out! Example 1a Use the Binomial Theorem to expand the binomial. ( x – y ) 5 ( x – y ) 5 = 5 C 0 x 5 (– y ) 0 + 5 C 1 x 4 (– y ) 1 + 5 C 2 x 3 (– y ) 2 + 5 C 3 x 2 (– y ) 3 + 5 C 4 x 1 (– y ) 4 + 5 C 5 x 0 (– y ) 5 = 1 x 5 (– y ) 0 + 5 x 4 (– y ) 1 + 10 x 3 (– y ) 2 + 10 x 2 (– y ) 3 + 5 x 1 (– y ) 4 + 1 x 0 (– y ) 5 = x 5 – 5 x 4 y + 10 x 3 y 2 – 10 x 2 y 3 + 5 xy 4 – y 5
11. 11. Check It Out! Example 1b ( a + 2 b ) 3 ( a + 2 b ) 3 = 3 C 0 a 3 (2 b ) 0 + 3 C 1 a 2 (2 b ) 1 + 3 C 2 a 1 (2 b ) 2 + 3 C 3 a 0 (2 b ) 3 = 1 • a 3 • 1 + 3 • a 2 • 2 b + 3 • a • 4b 2 + 1 • 1 • 8 b 3 = a 3 + 6 a 2 b + 12 ab 2 + 8 b 3 Use the Binomial Theorem to expand the binomial.
12. 12. A binomial experiment consists of n independent trials whose outcomes are either successes or failures; the probability of success p is the same for each trial, and the probability of failure q is the same for each trial. Because there are only two outcomes, p + q = 1, or q = 1 - p . Below are some examples of binomial experiments:
13. 13. Suppose the probability of being left-handed is 0.1 and you want to find the probability that 2 out of 3 people will be left-handed. There are 3 C 2 ways to choose the two left-handed people: LLR, LRL, and RLL. The probability of each of these occurring is 0.1(0.1)(0.9). This leads to the following formula.
14. 14. Example 2A: Finding Binomial Probabilities Jean usually makes half of her free throws in basketball practice. Today, she tries 3 free throws. What is the probability that Jean will make exactly 1 of her free throws? P ( r) = n C r p r q n-r P ( 1 ) = 3 C 1 (0.5) 1 (0.5) 3- 1 Substitute 3 for n, 1 for r, 0.5 for p, and 0.5 for q. = 3(0.5)(0.25) = 0.375 The probability that Jean will make exactly one free throw is 37.5%. The probability that Jean will make each free throw is , or 0.5.
15. 15. Example 2B: Finding Binomial Probabilities Jean usually makes half of her free throws in basketball practice. Today, she tries 3 free throws. What is the probability that she will make at least 1 free throw? At least 1 free throw made is the same as exactly 1, 2, or 3 free throws made. P (1) + P ( 2 ) + P ( 3 ) 0.375 + 3 C 2 (0.5) 2 (0.5) 3- 2 + 3 C 3 (0.5) 3 (0.5) 3- 3 0.375 + 0.375 + 0.125 = 0.875 The probability that Jean will make at least one free throw is 87.5%.
16. 16. Check It Out! Example 2a Students are assigned randomly to 1 of 3 guidance counselors. What is the probability that Counselor Jenkins will get 2 of the next 3 students assigned? The probability that Counselor Jenkins will get 2 of the next 3 students assigned is about 22%. Substitute 3 for n, 2 for r, for p, and for q. The probability that the counselor will be assigned 1 of the 3 students is .
17. 17. Check It Out! Example 2b Ellen takes a multiple-choice quiz that has 5 questions, with 4 answer choices for each question. What is the probability that she will get at least 2 answers correct by guessing? The probability of answering a question correctly is 0.25. 5 C 2 (0.25) 2 (0.75) 5- 2 + 5 C 3 (0.25) 3 (0.75) 5- 3 + 5 C 4 (0.25) 4 (0.75) 5- 4 + 5 C 5 (0.25) 5 (0.75) 5- 5 At least 2 answers correct is the same as exactly 2, 3, 4, or 5 questions correct. P ( 2 ) + P ( 3 ) + P ( 4 ) + P ( 5 ) 0.2637 + 0.0879 + .0146 + 0.0010  0.3672
18. 18. Example 3: Problem-Solving Application You make 4 trips to a drawbridge. There is a 1 in 5 chance that the drawbridge will be raised when you arrive. What is the probability that the bridge will be down for at least 3 of your trips?
19. 19. Example 3 Continued The answer will be the probability that the bridge is down at least 3 times. 1 Understand the Problem <ul><li>List the important information: </li></ul><ul><ul><li>• You make 4 trips to the drawbridge. </li></ul></ul><ul><ul><li>• The probability that the drawbridge will be down is </li></ul></ul>
20. 20. The direct way to solve the problem is to calculate P (3) + P (4). Example 3 Continued 2 Make a Plan
21. 21. P (3) + P (4) = 4 C 3 (0.80) 3 (0.20) 4- 3 + 4 C 4 (0.80) 4 (0.20) 4- 3 = 4(0.80) 3 (0.20) + 1(0.80) 4 (1) = 0.4096 + 0.4096 = 0.8192 The probability that the bridge will be down for at least 3 of your trips is 0.8192. Example 3 Continued Solve 3
22. 22. Look Back Example 3 Continued The answer is reasonable, as the expected number of trips the drawbridge will be down is of 4, = 3.2, which is greater than 3. 4 So the probability that the drawbridge will be down for at least 3 of your trips should be greater than
23. 23. Check It Out! Example 3a Wendy takes a multiple-choice quiz that has 20 questions. There are 4 answer choices for each question. What is the probability that she will get at least 2 answers correct by guessing?
24. 24. Check It Out! Example 3a Continued The answer will be the probability she will get at least 2 answers correct by guessing. 1 Understand the Problem <ul><li>List the important information: </li></ul><ul><ul><li>• Twenty questions with four choices </li></ul></ul><ul><ul><li>• The probability of guessing a correct answer is . </li></ul></ul>
25. 25. The direct way to solve the problem is to calculate P (2) + P (3) + P (4) + … + P (20). Check It Out! Example 3a Continued An easier way is to use the complement. &quot;Getting 0 or 1 correct&quot; is the complement of &quot;getting at least 2 correct.&quot; 2 Make a Plan
26. 26. = 20 C 0 (0.25) 0 (0.75) 20- 0 + 20 C 1 (0.25) 1 (0.75) 20- 1 Check It Out! Example 3a Continued P (0) + P (1) = 1(0.25) 0 (0.75) 20 + 20(0.25) 1 (0.75) 19  0.0032 + 0.0211  0.0243 Step 1 Find P (0 or 1 correct). Step 2 Use the complement to find the probability. 1 – 0.0243  0.9757 The probability that Wendy will get at least 2 answers correct is about 0.98. Solve 3
27. 27. Check It Out! Example 3a Continued Look Back The answer is reasonable since it is less than but close to 1. 4
28. 28. Check It Out! Example 3b A machine has a 98% probability of producing a part within acceptable tolerance levels. The machine makes 25 parts an hour. What is the probability that there are 23 or fewer acceptable parts?
29. 29. Check It Out! Example 3b Continued The answer will be the probability of getting 1–23 acceptable parts. <ul><li>List the important information: </li></ul><ul><ul><li>• 98% probability of an acceptable part </li></ul></ul><ul><ul><li>• 25 parts per hour with 1–23 acceptable parts </li></ul></ul>1 Understand the Problem
30. 30. The direct way to solve the problem is to calculate P(1) + P(2) + P(3) + … + P(23). Check It Out! Example 3b Continued An easier way is to use the complement. &quot;Getting 23 or fewer&quot; is the complement of &quot;getting greater than 23. “ Find this probability, and then subtract the result from 1. 2 Make a Plan
31. 31. = 25 C 24 (0.98) 24 (0.02) 25- 24 + 25 C 25 (0.98) 25 (0.02) 25- 25 Check It Out! Example 3b Continued P (24) + P (25) Step 1 Find P (24 or 25 acceptable parts). = 25(0.98) 24 (0.02) 1 + 1(0.98) 25 (0.02) 0  0.3079 + 0.6035 Step 2 Use the complement to find the probability. 1 – 0.9114  0.0886 The probability that there are 23 or fewer acceptable parts is about 0.09.  0.9114 Solve 3
32. 32. Look Back Since there is a 98% chance that a part will be produced within acceptable tolerance levels, the probability of 0.09 that 23 or fewer acceptable parts are produced is reasonable. Check It Out! Example 3b Continued 4
33. 33. Lesson Quiz: Part I Use the Binomial Theorem to expand each binomial. 1. ( x + 2) 4 2. (2 a – b ) 5 A binomial experiment has 4 trials, with p = 0.3. 3. What is the probability of 1 success? 4. What is the probability of at least 2 successes? x 4 + 8 x 3 + 24 x 2 + 32 x + 16 32 a 5 – 80 a 4 b + 80 a 3 b 2 – 40 a 2 b 3 + 10 ab 4 – b 5 0.4116 0.3483
34. 34. Lesson Quiz: Part II A binomial experiment has 4 trials, with p = 0.3. 5. There is a 10% chance that Nila will have to wait for a train to pass as she heads for school. What is the probability that she will not have to wait for a train all 5 days this week? 6. Krissy has 3 arrows. The probability of her hitting the target is . What is the probability that she will get at least one arrow on the target? about 59% 78.4%