Okay we can also say use a two sample t test and a Verizon equal we can do something like this. So, we will copy this data into the ACO okay then we can t test data variable one t test data available to verify equal to false and then pay equal to false we can do something like this T test data variable one data variable two okay ah they are equal runs equal errors equal equal to false quoted false path equal to false. So, pet equal to false okay then we can look for the p value. So this is seven pi a e to the power minus two ny okay then we can look into the result. So the result we had p values is about e to the power minus one I so, for to sample I'm Patty test. Now hypothesis is that a mean of the first data here, my nest I mean all Second data is equal to zero 10 the alternate hypothesis is the mean of the plus data minus the mean of the second data is not equal to zero.

So P value is 7.8 e to power minus nine. Hence, our P value is less than 0.05, which is the alpha value. So we can reject the null hypothesis. So you reject this null hypothesis and we have only these are hypotheses by the mean of the first data in our first data minus the mean or the second data is not equal to zero.