WEBVTT 1 00:00:00.600 --> 00:00:05.400 Dear students, this is our first example 2 00:00:05.400 --> 00:00:07.290 for chapter six. 3 00:00:07.290 --> 00:00:09.210 In this example, we are going to learn 4 00:00:09.210 --> 00:00:11.550 how to calculate confidence interval 5 00:00:11.550 --> 00:00:13.530 for a small sample size of eight 6 00:00:13.530 --> 00:00:15.840 using t-distribution. 7 00:00:15.840 --> 00:00:19.143 Now, the problem here is from our textbook, problem 15. 8 00:00:20.010 --> 00:00:24.360 The problem states, a pilot study is run to investigate 9 00:00:24.360 --> 00:00:27.720 the feasibility of recruiting pregnant women 10 00:00:27.720 --> 00:00:32.190 into a study of risk factors for pre-term delivery. 11 00:00:32.190 --> 00:00:34.380 Women are invited to participate 12 00:00:34.380 --> 00:00:38.160 at their first clinical visit for prenatal care. 13 00:00:38.160 --> 00:00:42.270 The following represent the gestational ages in weeks 14 00:00:42.270 --> 00:00:46.050 of women who consented to participate in the study. 15 00:00:46.050 --> 00:00:48.960 Compute a 95% confidence interval 16 00:00:48.960 --> 00:00:50.550 for the mean gestational age 17 00:00:50.550 --> 00:00:52.623 of women enrolling in the study. 18 00:00:53.880 --> 00:00:54.713 So here, 19 00:00:55.680 --> 00:00:57.870 the numbers or values are given, 20 00:00:57.870 --> 00:01:01.230 and the first step is for us to calculate the mean 21 00:01:01.230 --> 00:01:03.090 and the standard deviation. 22 00:01:03.090 --> 00:01:06.420 Now, here, I have used the short formula 23 00:01:06.420 --> 00:01:08.760 to calculate the standard deviation, 24 00:01:08.760 --> 00:01:11.730 because the objective here is not to calculate 25 00:01:11.730 --> 00:01:13.470 the standard deviation or the mean, 26 00:01:13.470 --> 00:01:15.570 but rather, to learn how to calculate 27 00:01:15.570 --> 00:01:17.370 the confidence interval. 28 00:01:17.370 --> 00:01:19.320 Now, I also want to let you know that 29 00:01:19.320 --> 00:01:20.920 for this biostatistics 30 00:01:22.800 --> 00:01:25.800 ER problem, the solution here is typed 31 00:01:25.800 --> 00:01:28.320 because once I heard from a student 32 00:01:28.320 --> 00:01:33.090 that all of my biostat ER examples are solved by hand. 33 00:01:33.090 --> 00:01:36.450 Hence, I have used this typed solution here, 34 00:01:36.450 --> 00:01:39.660 but I am going to go through this step by step. 35 00:01:39.660 --> 00:01:42.160 So the next thing we have to see here is 36 00:01:44.910 --> 00:01:46.380 the degrees of freedom, 37 00:01:46.380 --> 00:01:48.540 because based on that, we have to obtain 38 00:01:48.540 --> 00:01:51.060 our t-value from the back of our book. 39 00:01:51.060 --> 00:01:55.050 So our degrees of freedom here is going to be n - 1. 40 00:01:55.050 --> 00:01:56.220 And what is our n? 41 00:01:56.220 --> 00:01:57.720 Our n is eight. 42 00:01:57.720 --> 00:02:01.320 So when we take eight and deduct one, we get seven. 43 00:02:01.320 --> 00:02:04.680 So based on 95% confidence interval 44 00:02:04.680 --> 00:02:07.500 and degrees of freedom of seven, 45 00:02:07.500 --> 00:02:11.070 we get the t-value again from the back of our book, 46 00:02:11.070 --> 00:02:13.203 which is 2.365. 47 00:02:14.130 --> 00:02:16.200 Now, once we have all the 48 00:02:16.200 --> 00:02:17.880 values at our 49 00:02:17.880 --> 00:02:21.900 hand, this is basically plugging it into the formula. 50 00:02:21.900 --> 00:02:25.560 And the formula here is X bar +/- t, 51 00:02:25.560 --> 00:02:29.130 which is the t we just obtained, the t-value. 52 00:02:29.130 --> 00:02:32.430 S divided by square root of n. 53 00:02:32.430 --> 00:02:34.473 So our X bar here is 14.8. 54 00:02:36.690 --> 00:02:39.600 The t-value here is 2.365. 55 00:02:39.600 --> 00:02:42.300 The standard deviation we calculated previously, 56 00:02:42.300 --> 00:02:46.200 which is five, and the sample size, n, is eight, 57 00:02:46.200 --> 00:02:48.150 so it is the square root of eight. 58 00:02:48.150 --> 00:02:51.150 So, when we perform the algebra, 59 00:02:51.150 --> 00:02:52.150 we get 14.8 60 00:02:53.095 --> 00:02:54.900 +/- 4.18. 61 00:02:54.900 --> 00:02:57.120 And when, again, we solve that, 62 00:02:57.120 --> 00:03:00.900 what we get is 10.6 and 19.0. 63 00:03:00.900 --> 00:03:05.520 So that is basically our 95% confidence interval 64 00:03:05.520 --> 00:03:07.770 for the mean gestational age 65 00:03:07.770 --> 00:03:10.143 of women enrolling in the study.