1 00:00:00,012 --> 00:00:04,197 >> I'm going to show you the answer to this, by doing it in a spreadsheet. You 2 00:00:04,197 --> 00:00:08,949 could do all of these calculations, without any technology. And if you did that, 3 00:00:08,949 --> 00:00:13,362 that's really great. It's always really good practice to calculate things 4 00:00:13,362 --> 00:00:17,709 without using any technology, but just for the purposes of figuring out the 5 00:00:17,709 --> 00:00:22,873 standard deviation, technology can really speed along this process. So I'm not 6 00:00:22,873 --> 00:00:29,985 going to use any shortcuts here. We're going to do it exactly as we would if we 7 00:00:29,985 --> 00:00:38,639 didn't have technology. So first we need to take the avearage of all of these, 8 00:00:38,639 --> 00:00:47,458 we're going to sum them up. So we're taking the sume of all of these. I could 9 00:00:47,458 --> 00:00:55,191 also just write equals a1 plus a2 plus a3 all the way to a10. And we'd get the 10 00:00:55,191 --> 00:01:02,922 same thing. But why would we do that if we can simply write this. Now to take 11 00:01:02,922 --> 00:01:10,884 the average all we do is divide by the number of values which is 10. So that's 12 00:01:10,884 --> 00:01:18,654 just going to be 51,511.1. Alternatively, the nice thing about technology is we 13 00:01:18,654 --> 00:01:27,070 can just do this. Take the sum, and divide by the total number. Do it all in 1 14 00:01:27,070 --> 00:01:34,563 step. So now we have the average. Now we're going to subtract the average from 15 00:01:34,563 --> 00:01:40,776 each 1 of these values. Not the opposite, where we subtract each of these values 16 00:01:40,776 --> 00:01:46,216 from the mean. That's an important distinction. In this case, it doesn't matter 17 00:01:46,216 --> 00:01:51,481 as much but in other statistical concepts that's an important distinction to 18 00:01:51,481 --> 00:01:58,227 make. So we'll write equals A1 minus. The mean. So I'm subtracting the mean from 19 00:01:58,227 --> 00:02:05,630 each of these values. Now I could just do the same thing here and write equals 20 00:02:05,630 --> 00:02:13,044 a2 minus the mean but that would be tedious. We can just drag this down. When 21 00:02:13,044 --> 00:02:19,621 you do that, remember that there has to be a little plus sign there. That means 22 00:02:19,621 --> 00:02:25,734 you're successfully dragging it down. If you went like this, it won't do 23 00:02:25,734 --> 00:02:32,486 anything. It'll just highlight the boxes. So here, we have the deviations from 24 00:02:32,486 --> 00:02:39,383 the mean. Here, in the next column We're going to square each deviation. Equals 25 00:02:39,383 --> 00:02:45,394 b1 squared. And again, we're going to drag it down. So we have the squared 26 00:02:45,394 --> 00:02:51,742 deviations for each of these values. Now remember that the variance is the 27 00:02:51,742 --> 00:02:58,709 average squared deviation. So we could just write. Average of c1 to c10. But I 28 00:02:58,709 --> 00:03:05,996 want to make sure we go through all the other steps in between. So let's again 29 00:03:05,996 --> 00:03:13,670 practice calculating the average just for clarity's sake. So the variants then 30 00:03:13,670 --> 00:03:19,829 would be the sum of c1 to c10. Remember that's how you start out taking the 31 00:03:19,829 --> 00:03:25,637 average, and then divide by 10. So here's the variance, and then the standard 32 00:03:25,637 --> 00:03:31,793 deviation is simply the square root of the variance. So we'll write equals SQRT. 33 00:03:31,794 --> 00:03:37,695 That's the shortcut for square root. And then we can just see C13. So we know 34 00:03:37,695 --> 00:03:43,730 that the standard deviation is 6557.16 approximately. Now I want to point out 35 00:03:43,730 --> 00:03:49,998 something really important before we finish this solution video. Here I simply 36 00:03:49,998 --> 00:03:56,953 said equals square root of this cell C13. Whereas here, I wrote out the 37 00:03:56,953 --> 00:04:05,325 whole average. The reason for that is because say I had but this all here, A13. 38 00:04:05,325 --> 00:04:12,849 Then, when we drag it down, we don't get the right deviations. And we can double 39 00:04:12,849 --> 00:04:19,432 click on it, and see what it did. Here, it took A4 minus A16, whereas here it 40 00:04:19,432 --> 00:04:26,126 took A1 minus A13, which is what we wanted. But we want it to always stay A13, 41 00:04:26,126 --> 00:04:32,564 which is why we have to make sure this is a constant. And the way to make sure 42 00:04:32,564 --> 00:04:38,507 it's a constant is by just writing it. Notice also that all of these values 43 00:04:38,507 --> 00:04:44,267 changed when these values changed because all these values are dependent of 44 00:04:44,267 --> 00:04:50,507 these values So when we change it back we should again get the correct standard 45 00:04:50,507 --> 00:04:51,530 deviation.