Okay, we have the two sample independent t test. So, to sample unpaired t test is when we compare two means of our two independent samples. So, we can say compare the samples using these are two sample t tests by using this T test independent function. So, T test independent function then the first column or the first variable the first t tau the first sample and then the second variable or the second data the second column our second sample and equal variance is equal to true. So, we are using two sample unpaired t test, the variance is equal to true So we can do these in these are Python using this function here. So you can write something like this.

So let's say AB for garetty we can come here as our dot t t test and these are t test independent. Okay then we can do something IDs except Landsat Poland and we have asset Bobby is not happy we can pull up at the land okay then we can put in the equal balance to be true. Okay, equal they raise equal to true Okay then we can run the code okay there is no petal and so it should be t okay. So you rather call me get a statistic is 13.0995 now we get a p value is 2.8298 to the power minus 31 Okay. So, you can do into the result. So for two sample independent t test now hypothesis is the mean of our essay.

The first data is equal to the mean of second data for alternate hypothesis the mean our first data is not equal to the mean our second data so, for P value we have 2.82 nitrate raid eight or power minus 31 hands p value is less than zero Point 05 which is the alpha value, therefore no hypothesis may be rejected. So, it's pretty common sense that when we reject the null hypothesis, you're near these are alternate parties. So we these are alternate hypotheses they are the first data is not equal to the second data. Ah when we are talking about me