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Probability & Area

Probability & Area. Created By Alan Williams. Probability & Area. Objectives : (1) Students will use sample space to determine the probability of an event. (4.02) Essential Questions : (1) How can I use sample space to determine the probability of an event?

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Probability & Area

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  1. Probability & Area Created By Alan Williams

  2. Probability & Area Objectives: (1) Students will use sample space to determine the probability of an event. (4.02) Essential Questions: (1) How can I use sample space to determine the probability of an event? (2) How can I use probability to make predictions?

  3. Probability & Area How can we use area models to determine the probability of an event? - Using a dartboard as an example, we can say the probability of throwing a dart and having it hit the bull's-eye is equal to the ratio of the area of the bull’s-eye to the total area of the dartboard

  4. Probability & Area What’s the relationship between area and probability of an event? Suppose you throw a large number of darts at a dartboard… # landing in the bull’s-eye area of the bull’s-eye # landing in the dartboard total area of the dartboard =

  5. Probability & Area Real World Example:Dartboard. A dartboard has three regions, A, B, and C. Region B has an area of 8 in2 and Regions A and C each have an area of 10 in2. What is the probability of a randomly thrown dart hitting Region B?

  6. Probability & Area Real World Example:Dartboard. A dartboard has three regions, A, B, and C. Region B has an area of 8 in2 and Regions A and C each have an area of 10 in2. What is the probability of a randomly thrown dart hitting Region B? area of region B total area of the dartboard P(region B) =

  7. Probability & Area Real World Example:Dartboard. A dartboard has three regions, A, B, and C. Region B has an area of 8 in2 and Regions A and C each have an area of 10 in2. What is the probability of a randomly thrown dart hitting Region B? area of region B total area of the dartboard 8 8 2 8 + 10 + 10 28 7 P(region B) = P(region B) == =

  8. Probability & Area Real World Example:Dartboard. A dartboard has three regions, A, B, and C. Region B has an area of 8 in2 and Regions A and C each have an area of 10 in2. If you threw a dart 105 times, how many times would you expect it to hit Region B? (first we need to remember that from the previous question, there is a 2/7 chance of hitting Region B if we randomly throw a dart) 2 b 7 105 =

  9. Probability & Area Real World Example:Dartboard. A dartboard has three regions, A, B, and C. Region B has an area of 8 in2 and Regions A and C each have an area of 10 in2. If you threw a dart 105 times, how many times would you expect it to hit Region B? (first we need to remember that from the previous question, there is a 2/7 chance of hitting Region B if we randomly throw a dart) 2 b 7·b = 2·105 (Multiply to find Cross Product) 7 105 =

  10. Probability & Area Real World Example:Dartboard. A dartboard has three regions, A, B, and C. Region B has an area of 8 in2 and Regions A and C each have an area of 10 in2. If you threw a dart 105 times, how many times would you expect it to hit Region B? (first we need to remember that from the previous question, there is a 2/7 chance of hitting Region B if we randomly throw a dart) 2 b 7·b = 2·105 (Multiply to find Cross Product) 7 105 7 7 b = 30 Out of 105 times, you would expect to hit Region B about 30 times. =

  11. Probability & Area Example 1:Finding probability using area. What is the probability that a randomly thrown dart will land in the shaded region? number of shaded region total area of the target P(shaded) =

  12. Probability & Area Example 1:Finding probability using area. What is the probability that a randomly thrown dart will land in the shaded region? number of shaded region total area of the target 12 3 16 4 P(shaded) = P(shaded) = =

  13. Probability & Area Example 1:Finding probability using area. If Mr. Williams randomly drops 300 pebbles onto the squares, how many should land in the shaded region?

  14. Probability & Area Example 1:Finding probability using area. If Mr. Williams randomly drops 300 pebbles onto the squares, how many should land in the shaded region? 3 x 4 300 =

  15. Probability & Area Example 1:Finding probability using area. If Mr. Williams randomly drops 300 pebbles onto the squares, how many should land in the shaded region? 3 x 4 300 4x = 900 =

  16. Probability & Area Example 1:Finding probability using area. If Mr. Williams randomly drops 300 pebbles onto the squares, how many should land in the shaded region? 3 x 4 300 4x = 900 4 4 x = 225 pebbles =

  17. Probability & Area Example 2:Carnival Games. Steve and his family are at the fair. Walking around Steve’s boys Tom and Jerry ask if they can play a game where you toss a coin and try to have it land on a certain area. If it lands in that area you win a prize. Find the probability that Tom and Jerry will win a prize.

  18. Probability & Area Example 2:Carnival Games. Steve and his family are at the fair. Walking around Steve’s boys Tom and Jerry ask if they can play a game where you toss a coin and try to have it land on a certain area. If it lands in that area you win a prize. Find the probability that Tom and Jerry will win a prize. area of shaded region area of the target P(region B) =

  19. Probability & Area Example 2:Carnival Games. Steve and his family are at the fair. Walking around Steve’s boys Tom and Jerry ask if they can play a game where you toss a coin and try to have it land on a certain area. If it lands in that area you win a prize. Find the probability that Tom and Jerry will win a prize. area of shaded region area of the target 14 7 20 10 P(region B) = P(region B) = =or 0.7 or 70%

  20. Probability & Area Example 3:Carnival Games 2. A carnival game involves throwing a bean bag at a target. If the bean bag hits the shaded portion of the target, the player wins. Find the probability that a player will win. Assume it is equally likely to hit anywhere on the target. 24 in 6 in 6 in 30 in

  21. Probability & Area Example 3:Carnival Games 2. A carnival game involves throwing a bean bag at a target. If the bean bag hits the shaded portion of the target, the player wins. Find the probability that a player will win. Assume it is equally likely to hit anywhere on the target. area of shaded region area of the target 24 in 6 in P(winning) = 6 in 30 in

  22. Probability & Area Example 3:Carnival Games 2. A carnival game involves throwing a bean bag at a target. If the bean bag hits the shaded portion of the target, the player wins. Find the probability that a player will win. Assume it is equally likely to hit anywhere on the target. area of shaded region area of the target 6·6 36 1 24·30 720 20 24 in 6 in P(winning) = 6 in P(winning) = = = 30 in or 0.05 or 5%

  23. Probability & Area Example 4:Probability & Predictions. From the previous example we determined there was a 1/20 or 5% chance of the bean bag landing in the shaded portion of the target. Predict how many times you would win the carnival game if you played 50 times. 24 in 6 in 6 in 30 in

  24. Probability & Area Example 4:Probability & Predictions. From the previous example we determined there was a 1/20 or 5% chance of the bean bag landing in the shaded portion of the target. Predict how many times you would win the carnival game if you played 50 times. 1 w w is # of wins 20 50 number of plays 24 in = 6 in 6 in 30 in

  25. Probability & Area Example 4:Probability & Predictions. From the previous example we determined there was a 1/20 or 5% chance of the bean bag landing in the shaded portion of the target. Predict how many times you would win the carnival game if you played 50 times. 1 w 20 50 20·w = 1·50 24 in = 6 in 6 in 30 in

  26. Probability & Area Example 4:Probability & Predictions. From the previous example we determined there was a 1/20 or 5% chance of the bean bag landing in the shaded portion of the target. Predict how many times you would win the carnival game if you played 50 times. 1 w 20 50 20·w = 1·50 20 20 24 in = 6 in 6 in 30 in

  27. Probability & Area Example 4:Probability & Predictions. From the previous example we determined there was a 1/20 or 5% chance of the bean bag landing in the shaded portion of the target. Predict how many times you would win the carnival game if you played 50 times. 1 w 20 50 20·w = 1·50 20 20 w = 2½ If you play 50 times you should win about 3. 24 in = 6 in 6 in 30 in

  28. Probability & Area Guided Practice:Dartboards. Each figure represents a dartboard. If it is equally likely that a dart will land anywhere on the dartboard, find the probability of a randomly-thrown dart landing on the shaded region. Then predict how many of 100 darts thrown would hit each shaded region. (1) (2) (3)

  29. Probability & Area Guided Practice:Dartboards. Each figure represents a dartboard. If it is equally likely that a dart will land anywhere on the dartboard, find the probability of a randomly-thrown dart landing on the shaded region. Then predict how many of 100 darts thrown would hit each shaded region. (1) ½ (2) ¾ (3) ¼ about 50 about 75 about 25

  30. Probability & Area Independent Practice:Complete Each Example. Each figure represents a dartboard. If it is equally likely that a dart will land anywhere on the dartboard, find the probability of a randomly-thrown dart landing on the shaded region. Then predict how many of 200 darts thrown would hit each shaded region. (1) (2) (3)

  31. Probability & Area Independent Practice:Complete Each Example. Each figure represents a dartboard. If it is equally likely that a dart will land anywhere on the dartboard, find the probability of a randomly-thrown dart landing on the shaded region. Then predict how many of 200 darts thrown would hit each shaded region. (1) 10/25 (2) 3/4 (3) 4/6 2/5 2/3 about 80 about 150 about 133

  32. Probability & Area Real World Example:T-Shirts. A cheerleading squad plans to throw t-shirts into the stands using a sling shot. Find the probability that a t-shirt will land in the upper deck of the stands. Assume it is equally likely for a shirt to land anywhere in the stands. 22 ft UPPER DECK 43 ft LOWER DECK 360 ft

  33. Probability & Area Real World Example:T-Shirts. A cheerleading squad plans to throw t-shirts into the stands using a sling shot. Find the probability that a t-shirt will land in the upper deck of the stands. Assume it is equally likely for a shirt to land anywhere in the stands. Area of upper deck Total area of stands 22 ft UPPER DECK P(upper deck) = 43 ft LOWER DECK 360 ft

  34. Probability & Area Real World Example:T-Shirts. A cheerleading squad plans to throw t-shirts into the stands using a sling shot. Find the probability that a t-shirt will land in the upper deck of the stands. Assume it is equally likely for a shirt to land anywhere in the stands. Area of upper deck Total area of stands 22 x 360 7920 sq ft 43 x 360 23,400 sq ft 22 ft UPPER DECK P(upper deck) = 43 ft LOWER DECK P(upper deck) = = 360 ft

  35. Probability & Area Real World Example:T-Shirts. A cheerleading squad plans to throw t-shirts into the stands using a sling shot. Find the probability that a t-shirt will land in the upper deck of the stands. Assume it is equally likely for a shirt to land anywhere in the stands. Area of upper deck Total area of stands 22 x 360 7920 sq ft 43 x 360 23,400 sq ft 7920 1 23,400 3 22 ft UPPER DECK P(upper deck) = 43 ft LOWER DECK P(upper deck) = = 360 ft P(upper deck) = ≈ or 0.33 or about 33%

  36. Probability & Area How can we use area models to determine the probability of an event? - Using a dartboard as an example, we can say the probability of throwing a dart and having it hit the bull's-eye is equal to the ratio of the area of the bull’s-eye to the total area of the dartboard

  37. Probability & Area What’s the relationship between area and probability of an event? Suppose you throw a large number of darts at a dartboard… # landing in the bull’s-eye area of the bull’s-eye # landing in the dartboard total area of the dartboard =

  38. Probability & Area Homework: - Core 01 → p.___ #___, all - Core 02 → p.___ #___, all - Core 03 → p.___ #___, all

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