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These are the user uploaded subtitles that are being translated: 1 00:00:03,060 --> 00:00:04,170 -: Hello again. 2 00:00:04,170 --> 00:00:07,620 In this video we will examine the multiplication rule. 3 00:00:07,620 --> 00:00:09,180 For starters, let us examine 4 00:00:09,180 --> 00:00:12,360 the conditional probability formula once again. 5 00:00:12,360 --> 00:00:15,570 The probability of event A, given B 6 00:00:15,570 --> 00:00:17,850 equals the probability of the intersection 7 00:00:17,850 --> 00:00:20,910 of A and B over the probability 8 00:00:20,910 --> 00:00:22,293 of event B occurring. 9 00:00:23,340 --> 00:00:26,160 We can multiply both sides of the equation by 10 00:00:26,160 --> 00:00:30,510 P of B to get the probability of the intersection 11 00:00:30,510 --> 00:00:33,690 of A and B equals the probability 12 00:00:33,690 --> 00:00:38,370 of A, given B times the probability of B. 13 00:00:38,370 --> 00:00:41,313 We call this equation the multiplication rule. 14 00:00:42,510 --> 00:00:44,340 Let us look at a numerical example 15 00:00:44,340 --> 00:00:46,173 and see why this makes sense. 16 00:00:47,040 --> 00:00:50,820 Suppose the probability of event B is 0.5 17 00:00:50,820 --> 00:00:54,873 and the probability of event A given B is 0.8. 18 00:00:56,340 --> 00:01:00,450 This suggests that event B occurs 50% of the time 19 00:01:00,450 --> 00:01:05,099 and event A also appears in 80% of those 20 00:01:05,099 --> 00:01:07,173 50% when B occurred. 21 00:01:08,130 --> 00:01:10,440 Therefore, the likelihood of A and B 22 00:01:10,440 --> 00:01:15,440 occurring simultaneously is 0.8 x 0.5, or 0.4. 23 00:01:18,090 --> 00:01:19,640 Let us look at another example. 24 00:01:20,550 --> 00:01:22,170 Suppose we draw two cards 25 00:01:22,170 --> 00:01:25,320 from a standard deck of 52 playing cards. 26 00:01:25,320 --> 00:01:26,760 We draw one, 27 00:01:26,760 --> 00:01:29,190 shuffle the deck without returning the card 28 00:01:29,190 --> 00:01:30,903 and then draw a second one. 29 00:01:32,460 --> 00:01:33,690 What is the probability 30 00:01:33,690 --> 00:01:35,820 of drawing a spade on the second draw 31 00:01:35,820 --> 00:01:38,283 and not drawing a spade on the first draw? 32 00:01:40,560 --> 00:01:43,920 If we express these as a single conditional probability 33 00:01:43,920 --> 00:01:47,430 event A would be drawing a spade on the second try, 34 00:01:47,430 --> 00:01:51,843 and event B would be not drawing a spade on the first try. 35 00:01:52,950 --> 00:01:54,930 As stated before, the likelihood 36 00:01:54,930 --> 00:01:59,610 of drawing a specific suit is one fourth or 0.25. 37 00:01:59,610 --> 00:02:01,230 We already discussed how to calculate 38 00:02:01,230 --> 00:02:02,880 the probability of complements, 39 00:02:02,880 --> 00:02:07,880 so the probability of B would equal 1-0.25 or 0.75. 40 00:02:11,220 --> 00:02:13,470 Now, be careful when estimating the probability 41 00:02:13,470 --> 00:02:16,050 of drawing a spade on the second turn. 42 00:02:16,050 --> 00:02:18,360 There are only 51 cards left, 43 00:02:18,360 --> 00:02:21,840 so we must adjust the favorable overall formula 44 00:02:21,840 --> 00:02:23,343 to find the new likelihood. 45 00:02:24,510 --> 00:02:27,600 We have assumed we did not draw spade on the first go, 46 00:02:27,600 --> 00:02:32,430 so the favorable outcomes would still be the 13 spades left. 47 00:02:32,430 --> 00:02:36,120 However, we are one card short from having a complete deck, 48 00:02:36,120 --> 00:02:40,140 so the new sample space would be 51; therefore, 49 00:02:40,140 --> 00:02:45,140 the probability would be 13 over 51 or approximately 0.255. 50 00:02:47,880 --> 00:02:51,000 Great. So far we have calculated the likelihood 51 00:02:51,000 --> 00:02:53,820 of not drawing a spade on the first turn, 52 00:02:53,820 --> 00:02:55,680 and the probability of drawing a spade 53 00:02:55,680 --> 00:02:59,490 on the second go given we drew something else first. 54 00:02:59,490 --> 00:03:00,870 However, we still haven't 55 00:03:00,870 --> 00:03:03,660 answered the question we are interested in. 56 00:03:03,660 --> 00:03:04,890 What is the probability 57 00:03:04,890 --> 00:03:07,020 of drawing a spade on the second draw 58 00:03:07,020 --> 00:03:09,483 and not drawing a spade on the first draw? 59 00:03:11,340 --> 00:03:14,703 To answer it, we need to apply the multiplication rule. 60 00:03:16,020 --> 00:03:20,847 We plug in 0.255 for P of A given B 61 00:03:20,847 --> 00:03:25,847 and 0.75 for P of B in the multiplication law formula 62 00:03:26,490 --> 00:03:31,080 to get a probability of close to 0.191 63 00:03:31,080 --> 00:03:32,853 for the intersection of A and B. 64 00:03:34,170 --> 00:03:37,320 We have a probability of 0.191 65 00:03:37,320 --> 00:03:38,167 of drawing a spade on the second turn, 66 00:03:38,167 --> 00:03:41,823 assuming we did not draw one initially. 67 00:03:44,250 --> 00:03:46,170 Marvelous work everyone! 68 00:03:46,170 --> 00:03:48,720 For homework you can practice your understanding 69 00:03:48,720 --> 00:03:50,910 by finding the probability of getting a spade 70 00:03:50,910 --> 00:03:55,110 on either the first turn or the second turn. 71 00:03:55,110 --> 00:03:57,210 You could solve it in two separate ways, 72 00:03:57,210 --> 00:03:58,980 by using the additive law, 73 00:03:58,980 --> 00:04:01,143 or by using the multiplicative rule. 74 00:04:02,580 --> 00:04:03,603 Thanks for watching. 5768

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