Okay then we have a two sample independent t test. So two sample t test is when we compare two means of two independent samples. So we can copy this data into wow awkward here. Okay then we can use the two sample t test using this t dot test data variable one, data variable two variants dot equates true pair equal to false. So we can do something like this t dot test, data variable one Data variable two variables equal parents equal to two variables dot equal to true then pair c okay pair equal to false I see right is correct so pay equal to false case law semicolon So, we get a p value a stop okay. So we get a p value of this.

So, it should be less than 0.05. So, we can see the result here. So, ah for two sample independent t test now hypothesis is the mean of the A So, the mean of these available one A minus the mean of variable two minus the mean are these two here is equal to zero, then the alternate hypothesis is that a mean are variable one. So the mean of the robot one minus the mean of variable two is a mean or the robot two is not equal to zero. So the p value is seven or a paltry e to the power minus oh nine has p value is less than 0.05 H is alpha value. Therefore now hypothesis may be reject so we can reject a null hypothesis.

So this is another hypothesis. So we into this alternate hypothesis, alpha is often the zero here isn't now. So our alternate hypothesis say the mean of the first data minus the mean of the second data is not equal to zero.