Try to look at this question. It is given that among 143 subjects with positive test results, So let over here, let this be positive people who are actually positive like this with people who are actually negative. And let this be the test side. So who have tested positive? And these are the people who have tested negative. All right, So it is given that among 143 subjects with positive test results with positive test results, which means that the some of this column is 1 43. Yeah, right. In this case, Okay. 24 are false. Positive results. 24 are false. Positive results. Which means this is 24. They're actually negative by the tested positive. So what is the remaining one? 43 minus 24. That it's 119 after that, Among 157 negative results. This is 1 57 among 1 57 negative results. There are three false negative results. There are three false negatives, false negatives. What is the meaning of false negatives? That means that they are actually positive, but they have tested negative. So this is three. This is 1 53. Okay. How many subjects are included in the study? How many? Some things are included in the study 300. How do I find this? The addition of these two 300 subjects are included in the study. What is the next question? The next one is how many subjects had two negative result. How many subjects to negative result 1 53 1 53. After that. What is the probability that a randomly selected subject had a true negative result? The probability that the randomly selected subject had a true negative result. It will be 1 53 upon 300 1 53 divided by 300. Now, what is going to be the answer? In this case, we need to use a calculator. And so just give me a moment. This is turning out to be 0.513 By the way, what we're doing wrong is 1 57 minus three is 1 54. So this is 1 54. So this answer is 1 54. This answer is 1 54 and hence this is also 1 54. Now, let's try to calculate this 1. 54.300 0.513 This answer is zero point 513 These are my ancestors. Thats all I needed, right? Yeah, these are my answers.