1 00:00:02,640 --> 00:00:07,102 The three rules that we've studied are going to be enough to calculate the 2 00:00:07,102 --> 00:00:11,627 probabilities for any combination of propositions in propositional logic, 3 00:00:11,627 --> 00:00:16,151 because we've covered negation and then conjunction and then disjunction. 4 00:00:16,151 --> 00:00:20,180 And if you use them in various combinations, you can cover all of 5 00:00:20,180 --> 00:00:24,315 propositional logic, but it's still useful to look at one 6 00:00:24,315 --> 00:00:30,106 particular case, namely the probability of something happening in a series. 7 00:00:30,106 --> 00:00:36,444 Let's look at a simple example involving a very short series, only two events, and 8 00:00:36,444 --> 00:00:39,970 contraception. Assume that you want to prevent 9 00:00:39,970 --> 00:00:43,995 contraception, and that you use two different methods. 10 00:00:43,995 --> 00:00:49,843 What's the probability of conception being prevented by using two methods at 11 00:00:49,843 --> 00:00:53,108 once? And let's assume that the probability is 12 00:00:53,108 --> 00:00:59,032 0.9 of the first method working alone, and the probability is 0.9 of the second 13 00:00:59,032 --> 00:01:03,664 method working alone. How do you calculate the probability of 14 00:01:03,664 --> 00:01:07,310 preventing conception when you use both methods? 15 00:01:07,310 --> 00:01:10,571 Well, one move might be to say, let's add them 16 00:01:10,571 --> 00:01:13,755 together, 0.9 + 0.9 is 1.8, so maybe the 17 00:01:13,755 --> 00:01:17,925 probability of preventing conception using both is 1.8. 18 00:01:17,925 --> 00:01:21,867 No way, of course not. The maximum probability is one. 19 00:01:21,867 --> 00:01:28,008 Probabilities vary between zero and one, so 1.8 probability just doesn't make any 20 00:01:28,008 --> 00:01:30,360 sense. That can't be right. 21 00:01:30,360 --> 00:01:37,749 Another possibility is to say we're going to multiply the probability of preventing 22 00:01:37,749 --> 00:01:42,500 conception by using both methods is 0.9 * 0.9 which is 0.81. 23 00:01:42,500 --> 00:01:45,115 That can't be right either. Why not? 24 00:01:45,115 --> 00:01:50,869 Because, that would mean that there's less chance of preventing conception by 25 00:01:50,869 --> 00:01:56,473 using both methods, namely 0.81, than there was using one of the methods alone, 26 00:01:56,473 --> 00:01:59,911 0.9. If used both methods, the probability of 27 00:01:59,911 --> 00:02:05,814 preventing conception ought to go up. So how do we calculate the probability of 28 00:02:05,814 --> 00:02:11,568 one of these contraceptive methods working and preventing conception when we 29 00:02:11,568 --> 00:02:15,764 use them both? The right way to do this is to first of 30 00:02:15,764 --> 00:02:20,840 all, look at the probability of one of these methods failing. 31 00:02:20,840 --> 00:02:27,961 So instead of looking at the probability of it working being 0.9, we say the 32 00:02:27,961 --> 00:02:31,618 probability of it not working is 1 - 0.9 or 0.1. 33 00:02:32,900 --> 00:02:37,577 Now, what's the probability that they both fail? 34 00:02:37,577 --> 00:02:44,842 Well, the probability that they both fail is then going to be 0.1 * 0.1 which is 35 00:02:44,842 --> 00:02:48,902 0.01. And now, we can say what's the 36 00:02:48,902 --> 00:02:56,750 probability of them not both failing? That's going to be 1 - 0.01 or 0.99. 37 00:02:56,750 --> 00:03:03,720 So that's how we calculate the probability of preventing conception when 38 00:03:03,720 --> 00:03:10,420 you use both methods. Let's state this method in a formal rule. 39 00:03:10,420 --> 00:03:16,136 The probability that an event will occur at least once in a series of independent 40 00:03:16,136 --> 00:03:21,294 trials is one minus the probability that it will not occur in that series. 41 00:03:21,294 --> 00:03:25,407 Notice that we're assuming that the trials are independent. 42 00:03:25,407 --> 00:03:29,660 This rule is only going to work when the trials are independent. 43 00:03:29,660 --> 00:03:35,590 And, what you do, is you take the probability that it will not occur. 44 00:03:35,590 --> 00:03:40,614 And subtract it from one, and that gives you the probability that the event will 45 00:03:40,614 --> 00:03:45,586 occur at least once in the series or symbolically, it's one minus the 46 00:03:45,586 --> 00:03:50,288 probability of not h raised to the n, the number of trials. 47 00:03:50,288 --> 00:03:56,529 Because to get the probability that it will not occur in any of those trials, 48 00:03:56,529 --> 00:04:01,230 you have to raise it to the power of the number of trials. 49 00:04:01,230 --> 00:04:08,444 So in our case it was 0.1 * 0.1 = 0.01. But if you use three methods it would be 50 00:04:08,444 --> 00:04:13,145 0.1 * 0.1 * 0.1, that means 0.1 raised to the third power. 51 00:04:13,145 --> 00:04:18,419 Or if you use four methods, it would be 0.1 * 0.1 * 0.1 * 0.1, 0.1 raised to the 52 00:04:18,419 --> 00:04:22,434 fourth power. So you can see how you can generalize 53 00:04:22,434 --> 00:04:29,462 from our simple case of two contraceptive methods to use this formula to determine 54 00:04:29,462 --> 00:04:35,646 the probability of an event occurring in a series of independent trials. 55 00:04:35,646 --> 00:04:41,538 So, one more quick example. What's the probability of getting heads 56 00:04:41,538 --> 00:04:46,110 on a coin, at least once if you flip it five times? 57 00:04:46,110 --> 00:04:56,142 There is one, [SOUND] two. That didn't flip, I'm going to do that 58 00:04:56,142 --> 00:05:00,980 again. There we go, three, [SOUND] four. 59 00:05:02,180 --> 00:05:07,119 now I didn't show you whether it got heads or tails. 60 00:05:07,119 --> 00:05:12,200 What's the probability that one of those was a heads? 61 00:05:12,200 --> 00:05:17,654 Well, what's the probability for each flip that it was not a heads?.5. 62 00:05:17,654 --> 00:05:22,613 There are five flips, raise it to the fifth power, 0.5 * 0.5 * 63 00:05:22,613 --> 00:05:27,903 0.5 * 0.5 * 0.5. You can figure that out on a calculator. 64 00:05:27,903 --> 00:05:32,283 I'm not even going to try to do it in my head right now. 65 00:05:32,283 --> 00:05:39,060 And, then you subtract that from one and it gives you the probability that you get 66 00:05:39,060 --> 00:05:43,380 at least one heads in five independent flips. 67 00:05:43,380 --> 00:05:48,040 And notice what it does is if it's six flips, it's going to be even more likely, 68 00:05:48,040 --> 00:05:52,395 and seven is going to be more likely, because you're going to be raising 0.5 to 69 00:05:52,395 --> 00:05:56,580 the sixth power or the seventh power in order to apply the rule. 70 00:05:56,580 --> 00:06:01,848 So, that's just another example of how you take this rule regarding series and 71 00:06:01,848 --> 00:06:07,116 calculate the probability of the event occurring at least once in a series of 72 00:06:07,116 --> 00:06:08,400 independent trials.