1 00:00:00,000 --> 00:00:01,140 2 00:00:01,140 --> 00:00:02,290 Hey guys. 3 00:00:02,290 --> 00:00:03,570 Welcome back. 4 00:00:03,570 --> 00:00:07,430 Today, we're going to be working on a problem that asks 5 00:00:07,430 --> 00:00:12,860 you to find the PMF of a function of a random variable. 6 00:00:12,860 --> 00:00:16,410 So let's just jump right in. 7 00:00:16,410 --> 00:00:21,060 The problem statement gives you the PMF for a random 8 00:00:21,060 --> 00:00:23,180 variable called x. 9 00:00:23,180 --> 00:00:26,340 So we're told that there's this random variable x that 10 00:00:26,340 --> 00:00:32,100 takes on values minus 3, minus 2, minus 1, 1, 2, and 3. 11 00:00:32,100 --> 00:00:35,440 And for each of those values, the probability mass lying 12 00:00:35,440 --> 00:00:39,030 over that value is given by this formula, x 13 00:00:39,030 --> 00:00:41,010 squared over a. 14 00:00:41,010 --> 00:00:44,360 Now I didn't write it here to save room, but we're also told 15 00:00:44,360 --> 00:00:47,980 that a is a real number that is greater than 0. 16 00:00:47,980 --> 00:00:52,160 And we're told that the probability of x taking on any 17 00:00:52,160 --> 00:00:56,430 value outside of the set is 0. 18 00:00:56,430 --> 00:00:58,930 Now we're asked to do two things in the problem. 19 00:00:58,930 --> 00:01:03,040 First is to find the value of the parameter a. 20 00:01:03,040 --> 00:01:06,350 And that's sort of a natural question to ask, because if 21 00:01:06,350 --> 00:01:11,260 you think about it, the PMF isn't fully specified. 22 00:01:11,260 --> 00:01:16,000 And in fact, if you plug in the wrong number for a, you 23 00:01:16,000 --> 00:01:18,800 actually won't get a valid PMF. 24 00:01:18,800 --> 00:01:22,330 So we'll explore that idea in the first part. 25 00:01:22,330 --> 00:01:24,600 And then the second part, you're given a new random 26 00:01:24,600 --> 00:01:25,905 variable called z. 27 00:01:25,905 --> 00:01:28,550 And z happens to be a function of x. 28 00:01:28,550 --> 00:01:30,990 In fact, it's equal to x squared. 29 00:01:30,990 --> 00:01:34,370 And then you're asked to compute that PMF. 30 00:01:34,370 --> 00:01:38,810 So this problem is a good practice problem. 31 00:01:38,810 --> 00:01:41,730 I think, at this point, you guys are sort of newly 32 00:01:41,730 --> 00:01:45,360 acquainted with the idea of a PMF, or 33 00:01:45,360 --> 00:01:47,340 probability mass function. 34 00:01:47,340 --> 00:01:50,110 So this problem will hopefully help you get more familiar 35 00:01:50,110 --> 00:01:55,570 with that concept and how to manipulate PMFs. 36 00:01:55,570 --> 00:01:58,060 And by the way, just to make sure we're all on the same 37 00:01:58,060 --> 00:02:02,360 page, what does a PMF really tell you? 38 00:02:02,360 --> 00:02:08,389 So p sub X, where this is a capital X, because the 39 00:02:08,389 --> 00:02:10,520 convention in this class is to use capital 40 00:02:10,520 --> 00:02:12,350 letters for random variables. 41 00:02:12,350 --> 00:02:17,700 So p X of k, this is defined to be the probability that 42 00:02:17,700 --> 00:02:22,740 your random variable X takes on a value of k. 43 00:02:22,740 --> 00:02:25,630 So essentially, this says-- 44 00:02:25,630 --> 00:02:27,750 and this is just some number. 45 00:02:27,750 --> 00:02:31,290 So in our particular case, this would be equal to k 46 00:02:31,290 --> 00:02:33,260 squared over a. 47 00:02:33,260 --> 00:02:38,470 And how you can interpret this is this px guy is 48 00:02:38,470 --> 00:02:40,590 sort of like a machine. 49 00:02:40,590 --> 00:02:45,950 He takes in some value that your random variable could 50 00:02:45,950 --> 00:02:50,340 take on, and then he spits out the amount of probability mass 51 00:02:50,340 --> 00:02:53,010 lying over that value. 52 00:02:53,010 --> 00:02:53,330 OK. 53 00:02:53,330 --> 00:02:57,930 So now that we've done that quick recap, let's get back to 54 00:02:57,930 --> 00:02:59,530 the first part of the problem. 55 00:02:59,530 --> 00:03:03,530 So we have this formula for px of x, and we need 56 00:03:03,530 --> 00:03:04,930 to solve for a. 57 00:03:04,930 --> 00:03:08,990 So in order to do that, we're going to use one of our axioms 58 00:03:08,990 --> 00:03:11,160 of probability to set up an equation. 59 00:03:11,160 --> 00:03:13,860 And then we can solve precisely for a. 60 00:03:13,860 --> 00:03:20,120 So namely, we know that every PMF must sum to 1. 61 00:03:20,120 --> 00:03:24,000 And so essentially, if you sum this guy over all possible 62 00:03:24,000 --> 00:03:27,410 values of x, you should get a 1, and that equation will let 63 00:03:27,410 --> 00:03:29,060 us solve for a. 64 00:03:29,060 --> 00:03:30,910 So let's do that. 65 00:03:30,910 --> 00:03:37,090 Summation over x of px of x. 66 00:03:37,090 --> 00:03:39,430 So here, essentially you're only summing 67 00:03:39,430 --> 00:03:42,230 over these six values. 68 00:03:42,230 --> 00:03:49,230 So this is equal to px of minus 3, plus px of minus 2, 69 00:03:49,230 --> 00:03:52,872 plus px of minus 1, et cetera. 70 00:03:52,872 --> 00:03:58,270 Oops. px of 2 plus px of 3. 71 00:03:58,270 --> 00:03:58,760 OK. 72 00:03:58,760 --> 00:04:01,510 And again, like the interpretation as we said, 73 00:04:01,510 --> 00:04:08,460 this number here should be interpreted as the amount of 74 00:04:08,460 --> 00:04:13,810 probability mass lying over minus 3. 75 00:04:13,810 --> 00:04:16,790 And to help you visualize this, actually, before we go 76 00:04:16,790 --> 00:04:21,870 further with the computation, let's actually plot this PMF. 77 00:04:21,870 --> 00:04:27,140 So the amount of probability mass lying over minus 3, the 78 00:04:27,140 --> 00:04:31,000 way we figure that out is we take minus 3 and we plug it 79 00:04:31,000 --> 00:04:32,780 into this formula up here. 80 00:04:32,780 --> 00:04:34,030 So you get 9/a. 81 00:04:34,030 --> 00:04:38,480 82 00:04:38,480 --> 00:04:40,750 Now you can do this for minus 2. 83 00:04:40,750 --> 00:04:43,740 You've got 4/a, looking at the formula. 84 00:04:43,740 --> 00:04:46,140 For 1, you get 1/a. 85 00:04:46,140 --> 00:04:52,130 And of course, this graph, it's the mirror image over 0, 86 00:04:52,130 --> 00:04:55,370 because of the symmetry. 87 00:04:55,370 --> 00:05:00,600 So hopefully this little visualization helps you 88 00:05:00,600 --> 00:05:01,920 understand what I'm talking about. 89 00:05:01,920 --> 00:05:04,350 And now we can just read these values off of the 90 00:05:04,350 --> 00:05:06,470 plot we just made. 91 00:05:06,470 --> 00:05:10,310 So we know px minus 3 is equal to px of 3. 92 00:05:10,310 --> 00:05:15,330 So we can go ahead and just take 2 times 9/a. 93 00:05:15,330 --> 00:05:22,700 Similarly, we get 2 times 4/a, and then plus 2 times 1/a. 94 00:05:22,700 --> 00:05:25,500 So now it's just a question of algebra. 95 00:05:25,500 --> 00:05:30,670 So simplifying this, you're going to get 18 plus 8 plus 2, 96 00:05:30,670 --> 00:05:32,860 divided by a. 97 00:05:32,860 --> 00:05:35,750 And this gives you 28/a. 98 00:05:35,750 --> 00:05:40,180 And as I argued before, you know that if you sum a PMF 99 00:05:40,180 --> 00:05:43,120 over all possible values, you must get 1. 100 00:05:43,120 --> 00:05:46,910 So this is equal to 1, which of course implies that a is 101 00:05:46,910 --> 00:05:48,160 equal to 28. 102 00:05:48,160 --> 00:05:50,330 103 00:05:50,330 --> 00:05:54,760 So what we've shown here is that you actually don't have a 104 00:05:54,760 --> 00:05:59,360 choice for what value a can take on. 105 00:05:59,360 --> 00:06:01,790 It must take on 28. 106 00:06:01,790 --> 00:06:05,850 And in fact, if you plug in any other value than 28 in 107 00:06:05,850 --> 00:06:08,510 here, you actually are not going to have a valid PMF, 108 00:06:08,510 --> 00:06:11,810 because it's not going to sum to 1. 109 00:06:11,810 --> 00:06:12,250 OK. 110 00:06:12,250 --> 00:06:16,960 So I'm going to write my answer here, and then erase to 111 00:06:16,960 --> 00:06:20,580 give myself more room for part