All language subtitles for 05 - Use the binomial distribution

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These are the user uploaded subtitles that are being translated: 1 00:00:00,004 --> 00:00:01,009 - [Instructor] Another data distribution 2 00:00:01,009 --> 00:00:04,008 is called the binomial distribution. 3 00:00:04,008 --> 00:00:06,004 And that deals with trials 4 00:00:06,004 --> 00:00:10,005 where there are only two possible outcomes, true or false. 5 00:00:10,005 --> 00:00:12,008 A customer might either sign up for, 6 00:00:12,008 --> 00:00:16,002 or not sign up for your company's mailing list for example. 7 00:00:16,002 --> 00:00:17,001 In this movie, 8 00:00:17,001 --> 00:00:19,001 I will show you how to calculate the probabilities 9 00:00:19,001 --> 00:00:22,005 for outcomes described by the binomial distribution. 10 00:00:22,005 --> 00:00:24,008 So we will need our chance of success, 11 00:00:24,008 --> 00:00:26,006 and the number of trials, 12 00:00:26,006 --> 00:00:28,009 that is the number of customers who appear. 13 00:00:28,009 --> 00:00:33,005 And we can use those calculations to graph the likelihood 14 00:00:33,005 --> 00:00:37,009 of a specific number of customers signing up. 15 00:00:37,009 --> 00:00:41,003 With that introduction, I will switch over to Excel. 16 00:00:41,003 --> 00:00:44,006 My Excel sample files is 04 05 binomial, 17 00:00:44,006 --> 00:00:47,003 and you can find it in the chapter four folder 18 00:00:47,003 --> 00:00:50,002 of the exercise files collection. 19 00:00:50,002 --> 00:00:54,006 In this workbook, I have a worksheet with a graph 20 00:00:54,006 --> 00:00:55,008 that will show the sign of percentage 21 00:00:55,008 --> 00:00:59,008 based on calculations we make in the table on the left. 22 00:00:59,008 --> 00:01:03,006 We have the two pieces of information we need in column B. 23 00:01:03,006 --> 00:01:06,000 So in B1, which is already selected, 24 00:01:06,000 --> 00:01:08,002 I have the probability of success, 25 00:01:08,002 --> 00:01:13,000 and we're assuming that a customer will be 35% likely 26 00:01:13,000 --> 00:01:15,007 to sign up for our company's mailing list, 27 00:01:15,007 --> 00:01:17,003 if we present it to them, 28 00:01:17,003 --> 00:01:22,001 and we are going to work with 20 customers at a time. 29 00:01:22,001 --> 00:01:26,003 And from there, we can evaluate our data. 30 00:01:26,003 --> 00:01:30,000 To create our formula, I will click and cell B5, 31 00:01:30,000 --> 00:01:34,005 and this is an Excel table, so when I enter this formula 32 00:01:34,005 --> 00:01:37,004 in the first row of this column, 33 00:01:37,004 --> 00:01:40,001 the formula should be copied down. 34 00:01:40,001 --> 00:01:42,006 So I will type in the equals sign, 35 00:01:42,006 --> 00:01:45,009 and the function we'll use is binom.dist. 36 00:01:45,009 --> 00:01:50,007 So B-I-N-O-M dot D-I-S-T. 37 00:01:50,007 --> 00:01:54,006 The number of successes is in cell A5, 38 00:01:54,006 --> 00:01:59,001 so the first calculation will ask about the probability 39 00:01:59,001 --> 00:02:03,002 of getting zero successes, in other words, no one signs up. 40 00:02:03,002 --> 00:02:07,000 And a comma, then the number of trials, 41 00:02:07,000 --> 00:02:09,003 and that is in cell B2. 42 00:02:09,003 --> 00:02:10,008 I don't want that reference to change, 43 00:02:10,008 --> 00:02:15,009 so I'll press F4, that's command T on the Mac, that comma. 44 00:02:15,009 --> 00:02:19,003 Probability of success, that's in B1 so I'll click there, 45 00:02:19,003 --> 00:02:24,009 and again, F4, comma, and a question of whether we want 46 00:02:24,009 --> 00:02:27,007 the probability of getting that value or less, 47 00:02:27,007 --> 00:02:30,004 or the specific value exactly. 48 00:02:30,004 --> 00:02:33,000 In this case, I want the specific value, 49 00:02:33,000 --> 00:02:37,007 so I will highlight false for the probability mass function, 50 00:02:37,007 --> 00:02:40,003 also called the point probability. 51 00:02:40,003 --> 00:02:44,008 Press tab, right parenthesis and enter. 52 00:02:44,008 --> 00:02:46,008 And the formula didn't copy down, 53 00:02:46,008 --> 00:02:49,009 but if I click the action button that appears, 54 00:02:49,009 --> 00:02:52,006 that's the auto correct options button, 55 00:02:52,006 --> 00:02:54,009 and then click overwrite all cells in this column 56 00:02:54,009 --> 00:02:56,007 with this formula. 57 00:02:56,007 --> 00:02:59,008 Then I get the updated calculations, 58 00:02:59,008 --> 00:03:03,001 and the chart that you see on the right. 59 00:03:03,001 --> 00:03:07,000 Looking at the data, based on 35% probability 60 00:03:07,000 --> 00:03:08,008 of an individual signing up, 61 00:03:08,008 --> 00:03:11,006 and 20 as the number of customers we approach, 62 00:03:11,006 --> 00:03:14,005 we can see that the most likely outcome is seven. 63 00:03:14,005 --> 00:03:20,007 And that makes sense, because 0.35 times 20 is seven. 64 00:03:20,007 --> 00:03:23,004 So it's very unlikely that no one will sign up. 65 00:03:23,004 --> 00:03:29,006 And most of the time it looks like we will have between, 66 00:03:29,006 --> 00:03:33,009 say about four and 11 individuals signing up. 67 00:03:33,009 --> 00:03:37,002 And again, it appears that our most common value 68 00:03:37,002 --> 00:03:39,004 will be seven. 69 00:03:39,004 --> 00:03:42,009 If you want to determine the probability 70 00:03:42,009 --> 00:03:46,007 of a specific number of successes or less occurring, 71 00:03:46,007 --> 00:03:50,003 you can change the last argument from false to true. 72 00:03:50,003 --> 00:03:54,008 So I will double click and cell B5, 73 00:03:54,008 --> 00:03:57,008 which contains my first formula. 74 00:03:57,008 --> 00:04:00,002 Backspace far enough so I get true, 75 00:04:00,002 --> 00:04:03,001 the cumulative distribution function. 76 00:04:03,001 --> 00:04:06,003 Press tab to accept it, enter. 77 00:04:06,003 --> 00:04:11,009 And this time the formulas in the column did update. 78 00:04:11,009 --> 00:04:13,009 So as you can see, the probability 79 00:04:13,009 --> 00:04:16,006 of getting five individuals or less, 80 00:04:16,006 --> 00:04:20,003 or fewer, I guess, is about 21%, 81 00:04:20,003 --> 00:04:24,004 and then six or fewer is about 40%, 41 in this case. 82 00:04:24,004 --> 00:04:31,000 60% for seven or less, and that continues on up to 20. 83 00:04:31,000 --> 00:04:33,008 And you can see that there is not much of a change 84 00:04:33,008 --> 00:04:40,005 in the probability between getting 14, so that's 96.97%, 85 00:04:40,005 --> 00:04:44,006 and 15, which is 99.995%. 86 00:04:44,006 --> 00:04:48,007 So it is very unlikely that we will have 87 00:04:48,007 --> 00:04:51,006 anything more than about 10 people showing up, 88 00:04:51,006 --> 00:04:55,005 or signing up in a particular hour. 89 00:04:55,005 --> 00:04:58,001 Analyzing data using the binomial distribution 90 00:04:58,001 --> 00:04:59,006 lets you determine the likelihood 91 00:04:59,006 --> 00:05:01,002 of achieving certain results, 92 00:05:01,002 --> 00:05:04,003 when faced with a series of yes or no trials. 93 00:05:04,003 --> 00:05:06,005 If you're not hitting your targets for manual signup, 94 00:05:06,005 --> 00:05:09,001 or sales opportunities, you should consider 95 00:05:09,001 --> 00:05:10,009 whether your approach needs to be changed, 96 00:05:10,009 --> 00:05:14,000 or if your expected success rate is too high. 7762

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