1. Probability Distributions Discrete

2. Discrete data Discrete data can only take exact values Examples: The number of cars passing a checkpoint in 30 minutes The show sizes of students in a class The number of tomatoes on each plant in a greenhouse Variables with many repeated values are treated as discrete

3. Continuous data Continuous data can be given values within a specified range or measured to a specified degree of accuracy. Examples: The speed of a vehicle as it passes a checkpoint The mass of a cooking apple The time taken by a volunteer to perform a task Variables with few repeated values are treated as continuous

6. Binomial distribution

7. Attributes of a Binomial Experiment A binomial experiment is a statistical experiment that has the following properties:

8. Attributes of a Binomial Experiment The experiment consists of n repeated trials. Each trial can result in just two possible outcomes. We call one of these outcomes a success and the other, a failure. The probability of success, denoted by p, is the same on every trial. The trials are independent; that is, the outcome on one trial does not affect the outcome on other trials.

9. When a coin is flipped, the outcome is either a head or a tail; For convenience, one of the outcomes can be labeled "success" and the other outcome "failure." Two Outcomes

10. When a magician guesses the card selected from a deck, the magician can either be correct or incorrect; Again for convenience, one of the outcomes can be labeled "success" and the other outcome "failure." Two Outcomes

11. When a baby is born, the baby is either born in the month of March or is not. One of the outcomes can be labeled "success" and the other outcome "failure." Two Outcomes

12. In each of these examples, an event has two mutually exclusive possible outcomes. One of the outcomes can be labeled "success" and the other outcome "failure." Two Outcomes

13. Consider the following statistical experiment. You flip a coin 2 times and count the number of times the coin lands on heads. This is a binomial experiment because

14. Consider the following statistical experiment. The experiment consists of fixed trials. We flip a coin 2 times. Each trial can result in just two possible outcomes - heads or tails. The probability of success is constant - 0.5 on every trial. The trials are independent; that is, getting heads on one trial does not affect whether we get heads on other trials.

15. Experiment 3 dice- how many 4s? Does it meet the criteria of the Binomial?

16. Experiment The experiment consists of fixed trials. We rolled 3 dice Each trial can result in just two possible outcomes – ‘4’ or not a 4 on each dice The probability of success is constant – 1/6 on every trial (each dice). The trials are independent; that is, getting a ‘4’ on one trial does not affect whether we get a ‘4’ on other dice.

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18. Let’s generalise it Can you see the pattern?

19. Do these situations meet the conditions of the Binomial distribution? Experiment 1: A bag contains black, white and red marbles that are selected one at a time, with replacement. The colour of each marble is noted. Experiment 2: This is a repeat of experiment 1 except that the bag contains black and white marbles only. Experiment 3: This is a repeat of experiment 1 except that the marbles are not replaced after each selection.

20. Do these situations meet the conditions of the Binomial distribution? At Mt Eden Foodtown, 60% of customers pay by credit card. Find the probability that in a randomly selected sample of ten customers Exactly two pay by credit card Fixed number of trials: 10 trials Two outcomes: Pay by credit card or don ’ t Probability remains constant: 60% (established over a large number of transactions) Independence: Randomly selected customers

21. Solution Number of ways of picking 2 out of 10 customers

22. Solution Number of ways of picking 2 out of 10 customers

23. Solution Number of ways of picking 2 out of 10 customers

24. Write out the answer in long form. At Mt Eden Foodtown, 60% of customers pay by credit card. Find the probability that in a randomly selected sample of ten customers More than seven pay by credit card

25. Write out the answer in long form. At Mt Eden Foodtown, 60% of customers pay by credit card. Find the probability that in a randomly selected sample of ten customers More than seven pay by credit card

26. Write out the answer in long form. At Mt Eden Foodtown, 60% of customers pay by credit card. Find the probability that in a randomly selected sample of ten customers More than seven pay by credit card

27. Graphics Calculator Binomial Dist Stats Mode from Calc F5 Distribution Then F5 Binimial Dist For point dist select Bpd Select Data: Variable For P(X=3), n = 12 p = 0.15 For P(X=3) = 0.1720 For cumulative select Bcd For P(X<3), n = 10 p = 0.2 Since tables only go to 4 dp, round to 4dp

28. Graphics Calculator Notice that when using Bcd, you get the result that is less than or equal to the input number. If you needed >2, use 1 - (input 2)= 1 - 0.6778 = 0.3222

29. Using Tables 30% of pupils travel to school by bus. From a sample of ten pupils chosen at random, find the probability that Only three travel by bus.

30. Using Tables 30% of pupils travel to school by bus. From a sample of ten pupils chosen at random, find the probability that only three travel by bus. Fixed trials: 10 pupils Two outcomes: travel by bus or don ’ t Probability remains constant: 0.30 Independence: random selection of students

32. In general: The binomial probability for obtaining r successes in N trials is: where P(r) is the probability of exactly r successes, N is the number of events, and π is the probability of success on any one trial.

33. This formula assumes that the events : Number of trials is fixed fall into only two categories (2 outcomes which are mutually exclusive) Trials are independent (e.g. are randomly selected) Probability is the same for each trial

34. Consider this simple application of the binomial distribution: What is the probability of obtaining exactly 3 heads if a fair coin is flipped 6 times? For this problem, N =6, r=3, and π = 0.5.Therefore, Example 3

35. Two binomial distributions are shown below. Notice that for π = 0.5, the distribution is symmetric whereas for π = 0.3, the distribution has a positive skew.

36. Example 4 In a test there are ten multiple choice questions. For each question there is a choice of four answers, only one of which is correct. A student guesses the answers. Find the probability that he gets more than seven correct. He needs to obtain over half marks to pass and each question carries equal weight. Find the probability that he will pass.

37. Expectation and Variance Mean of the binomial Variance

38. The probability that it will be a fine day is 0.4. Find the expected number of fine days in a week and also the standard deviation. Answers are in days

39. The probability that a student is awarded a distinction in the mathematics examination is 0.05. In a randomly selected group of 50 students, what is the most likely number of students awarded a distinction? It is usually only necessary to consider the probabilities of values of X close to the mean.