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These are the user uploaded subtitles that are being translated: 1 00:00:00,860 --> 00:00:08,850 In this video we will solve the setting in a case study using statistical functions in Excel. 2 00:00:08,870 --> 00:00:13,530 The first thing we will do is calculate settings overall batting average. 3 00:00:13,700 --> 00:00:23,680 So select sell it do on the formula tab click more functions most of us statistical and from the list 4 00:00:24,070 --> 00:00:33,660 select average in the number one fee we will enter the sales with Sutton's batting record. 5 00:00:33,660 --> 00:00:43,050 As you can see his batting a good start in a two and go right up to the sell a 3 in the 30 click Okay. 6 00:00:44,590 --> 00:00:51,760 Excellent displays Sutton's overall batting average in cell S2 but you'll notice that it is slightly 7 00:00:51,760 --> 00:00:55,660 lower than the batting average shown elsewhere. 8 00:00:55,690 --> 00:01:01,000 If you go to any cricket site you'll see cities betting that rate is higher than what you see in Celeste 9 00:01:01,030 --> 00:01:01,660 too. 10 00:01:01,720 --> 00:01:07,330 The difference comes from a nuance of calculating batting average in cricket. 11 00:01:07,330 --> 00:01:14,680 The formula in cell is to added all the runs scored by setting across all the innings and B why did 12 00:01:14,680 --> 00:01:14,830 it. 13 00:01:14,830 --> 00:01:17,890 By the count of all the innings he played. 14 00:01:18,880 --> 00:01:26,770 But the batting average is calculated by dividing runs scored by the number of innings minus the number 15 00:01:26,770 --> 00:01:28,850 of innings the batsman does not own. 16 00:01:29,190 --> 00:01:31,630 So only combining it with a batsman got out. 17 00:01:31,990 --> 00:01:39,430 Let us calculate the regular batting average for city select select three and this time will type a 18 00:01:39,460 --> 00:01:42,480 custom formula to calculate batting average. 19 00:01:42,520 --> 00:01:43,240 Let us add up 20 00:01:46,200 --> 00:01:55,270 the runs scored by setting across all leanings so there's some A2 through to 30. 21 00:01:55,510 --> 00:02:03,850 Calculate all the runs scored researching and let us divide it by counting the number of innings he 22 00:02:03,850 --> 00:02:06,430 played when he got out. 23 00:02:06,490 --> 00:02:14,500 So let us do the count of formula the county formula counts rows in Excel that meet the criteria that 24 00:02:14,500 --> 00:02:15,550 we specify. 25 00:02:15,550 --> 00:02:22,690 The first argument is the range the range you are looking for is column B where the mode of dismissal 26 00:02:22,720 --> 00:02:23,380 is recorded. 27 00:02:24,460 --> 00:02:35,490 So let us select the range B2 through B 330 which has all lost that is dismissal mode and now define 28 00:02:35,490 --> 00:02:36,590 that criteria. 29 00:02:36,660 --> 00:02:39,540 We want to select innings First the team was out. 30 00:02:39,810 --> 00:02:45,870 So basically we want to count rows where the mode of dismissal is not equal to not all. 31 00:02:46,770 --> 00:02:48,000 So let us write that 32 00:02:55,040 --> 00:03:02,120 another function we have got we count the rows in the same length B2 through under 330 where the cell 33 00:03:02,120 --> 00:03:08,010 value is not equal to not out close the bracket and PRESENTER And now we have set his batting average 34 00:03:08,030 --> 00:03:09,020 that you see every day. 35 00:03:09,710 --> 00:03:11,850 Well the batting average is useful. 36 00:03:12,080 --> 00:03:17,500 It also has the problem average gets skewed by extreme values. 37 00:03:17,500 --> 00:03:25,100 So if the tennis court 0 0 is scored 100 they will have enormous impact on the average. 38 00:03:25,100 --> 00:03:30,070 Also as we saw if he scored one hundred and even not out that would push up the average. 39 00:03:30,170 --> 00:03:30,840 Quite a lot. 40 00:03:31,220 --> 00:03:37,950 If you look at this batting average and compared to the runs he scored you'll clearly that on most occasions 41 00:03:38,550 --> 00:03:45,000 he did not score these many runs so it is not really a true indicator of how much runs to expect every 42 00:03:45,020 --> 00:03:53,520 time he went out the back a much better measure of that number is the median the median finds the value 43 00:03:53,550 --> 00:03:57,560 that is in the mickey of all the values given in ring. 44 00:03:57,690 --> 00:04:03,720 By definition 50 percent of the numbers will be above median and 50 percent will be below the median. 45 00:04:03,720 --> 00:04:10,920 So let's look at the median score of such an excel as a formula called median that we can use here on 46 00:04:10,920 --> 00:04:21,880 the formula stack play more functions more stories statistical and from the list select median in the 47 00:04:21,880 --> 00:04:31,720 function arguments dialog box number 1 let us and that is batting record range it is a 2 to 18 to 30 48 00:04:32,020 --> 00:04:38,120 like okay an a local place the median is called for Sachin it is thirty two. 49 00:04:38,200 --> 00:04:45,550 Let us look at the score that is scored most often the most frequent score of thirteen in a list of 50 00:04:45,550 --> 00:04:51,190 numbers the most frequently occurring number is called the mode the will use mode to calculate the most 51 00:04:51,190 --> 00:05:00,130 frequent score of such an Excel it's 5 on the formulas that like more functions more so in statistical 52 00:05:00,720 --> 00:05:06,600 and from the list select mode not a single which stands for single. 53 00:05:06,880 --> 00:05:11,620 It calculates the single number that is the most frequently occurring number in a list. 54 00:05:11,740 --> 00:05:24,040 Again in the number one box will enter Saturn's writing scores to enter the range and click ok. 55 00:05:24,070 --> 00:05:30,560 What's that is zero did you expect that zero is the score scored by setting. 56 00:05:30,700 --> 00:05:37,090 Most often he actually scored zero 15 times and that happens to be and scored. 57 00:05:37,090 --> 00:05:39,730 He got more often than any other score. 58 00:05:40,270 --> 00:05:42,850 So that's why his mode is zero. 59 00:05:42,850 --> 00:05:50,350 Let us points at its highest score in Test cricket for this will use a simple statistical function max 60 00:05:50,830 --> 00:06:01,960 type equal to Max and the range once again we enter a two through a 330. 61 00:06:01,980 --> 00:06:03,150 And there you go. 62 00:06:03,220 --> 00:06:07,240 So six has set its highest score. 63 00:06:07,250 --> 00:06:09,300 Two hundred and forty eight. 64 00:06:09,350 --> 00:06:11,570 Let us calibrate one more number. 65 00:06:11,600 --> 00:06:13,790 Number of center is scored by certain. 66 00:06:14,810 --> 00:06:15,740 While you might know it. 67 00:06:15,830 --> 00:06:18,060 Let's see how you can do that in Excel. 68 00:06:18,060 --> 00:06:19,380 The values that count. 69 00:06:19,490 --> 00:06:25,360 Function define the number of innings we set in scored more than ninety nine. 70 00:06:25,520 --> 00:06:35,940 So on the formulas that play more functions more so statistical and scroll down to find Countess in 71 00:06:35,930 --> 00:06:46,830 the function arguments box in the range feel will enter it to through a 330 and in the idea field will 72 00:06:46,830 --> 00:06:55,340 enter into them ninety nine select seven now shows the numbers of to scored by set which is fifty one 73 00:06:55,840 --> 00:07:03,160 let us calculate the standard deviation of that is performance and we will use the standard deviation 74 00:07:03,160 --> 00:07:13,390 formula in Excel will select selected on formula start more functions statistical and in the list will 75 00:07:13,390 --> 00:07:22,660 select STV dot B not P stands for population so there are two ways you can calculate standard deviation 76 00:07:22,660 --> 00:07:30,850 in Excel one is for the entire set of data and we use the formula as did the e reader before that you 77 00:07:30,850 --> 00:07:37,870 can also calculate standard deviation for a sample from the total population. 78 00:07:37,880 --> 00:07:45,580 We can sample the data and calculate the standard deviation for the sample and we use STV dot s for 79 00:07:45,580 --> 00:07:52,640 that the formula works the same way it does the number of data points that is different in the two functions 80 00:07:53,000 --> 00:07:54,800 and the number one box. 81 00:07:54,940 --> 00:08:04,310 We will enter Saturn's batting record range 2 2 8 330 okay. 82 00:08:05,750 --> 00:08:13,220 And we have set in standard deviation which is fifty point eight four which is very close to his batting 83 00:08:13,220 --> 00:08:13,920 average. 84 00:08:13,940 --> 00:08:18,400 What it means is the Russes coordinate each innings are spread wide apart. 85 00:08:18,410 --> 00:08:21,590 They're not closely packed on the mean. 86 00:08:21,630 --> 00:08:29,060 Let us use that analysis tool back in Excel to calculate summary statistics for setting to use summary 87 00:08:29,060 --> 00:08:39,730 statistics on the data that in the analysis group play data analysis from the data analysis dialog box. 88 00:08:39,730 --> 00:08:44,520 Select descriptive statistics and analysis tools list and click Okay. 89 00:08:44,770 --> 00:08:54,280 In the descriptive statistics dialog box we need to first select the range for which we need to calculate 90 00:08:54,310 --> 00:08:56,050 the descriptive statistics. 91 00:08:56,050 --> 00:09:05,080 So let us enter that as a tool through a 330 in the output options will insert the descriptive statistics 92 00:09:05,080 --> 00:09:08,050 in a new worksheet from the new worksheet box. 93 00:09:08,140 --> 00:09:09,400 Let us type. 94 00:09:09,830 --> 00:09:12,820 Summary statistics 95 00:09:15,480 --> 00:09:20,860 to the new worksheet will be titled some minister districts select the summary statistics check box 96 00:09:21,550 --> 00:09:22,590 and click Okay. 97 00:09:25,700 --> 00:09:36,020 You can see Excel has created a new worksheet and this culture does summary statistics which includes 98 00:09:36,030 --> 00:09:45,750 mean standard error of the mean median mode standard deviation and a host of other statistical values. 10603

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