Yeah. Alright, for this problem, we want to identify the null hypothesis, the alternative hypothesis testing six. This p value or critical values are daily. We just want to do something so we can come to a conclusion about our claim. So we're giving the following information that the sample size of 56 males are mean as 16,576 words. The size of 7870. The standard deviation is 7,871 words. And we're using a significant level of 0.01. We have a claim that mills have a higher, have a standard deviation is greater than the standard deviation of 7,476 words for females. So, first we wanted to find that no hypothesis so that we are h not our highlights, some key things and claims already. So we have the standard deviation. So that's what we're testing and we are testing that standard deviations Go to 707,460 words. So that's our no hypothesis. Our alternative. We're still testing the standard deviation, but that is greater than The 7460 words. So that's our no alternative hypothesis, nests are testes cystic. Since we're testing the standard deviation is going to be a chi squared and it's going to use the formula and minus one times S squared divided by stigma squared. Yeah. And luckily here, all this information is given to us. So we just plugged it in. We should get 61 point 227 next we can find the P value. Uh huh. Um You can find the P value either through the tables or with technology like our stack crunch. Um I personally I'm using are so if we're using our you can use a function p chi square. And what we're gonna play is gonna be the test at RN -1 or degrees of freedom. And that lower don't tell is equal to false. Yeah. So the reason why this whole as far lower dot tells equal to false is if normally we're doing a one tailed test, it will assume that it's true. That's our normal position for the peace chi squared. Well if we look back up here we're doing an upper tail test. So we want a slower detail to be called false. So if you plug this in you'll see that the p value of 0.2 64 Or 0.62 four. Sorry. Yeah. And just from the p value in apple, we can make conclusions. So remember if the p value is greater than alpha, we will acceptable have assists or if the p value it's greater than alpha, we will reject the null hypothesis. So if we look at our p value we have zero 2624 And we can see that this is greater than our alpha which is 0.01. Thus we can come to a conclusion that we will accept our no hypothesis or we will fail to reject are no hypothesis at Alpha equals 0.01. Yeah, so that the results is not statistically significant.