Okay ANOVA is a process of testing the means of two or more groups you can also say ANOVA is useful as a testing more call themselves variables are attributes. So, I know that also Chester in empower factors by comparing the means of different samples. So, for hypotheses in ANOVA now hypothesis means that sample means are equal or do not have significant differences. The alternate hypothesis is that sample means are not equal. So, now hypothesis the mean of ESEA one data is equal to the mean of second a tie equal to the mean after the top of the time as a mean of LD then alternate hypothesis is that the mean is not equal to our to our data set Okay. So, to say to implement one way ANOVA we can do something like this he can pull in the data or we can clean the data catalog remove these.
Okay, so now we have our data that we can use. One way ANOVA is in faith to our Nova meta function LVR meta function, then data variable One, two, data variable, two, and a Tyco data and we get a fee so last pultec so fate to know about So our data variable One, two data variable to a data variable and two data variable two data data, the Tai Chi data, then we look into the fake because we have something that is a sum of squares or the degrees of freedoms. So, we can look into the p value by using the summary function. So I will use something that is a summary fate. Now we have the p value, this is a degree of in salmon square I mean r square evaluate this is P value. So, we can go into the result.
So, the p value is more than 0.05. So, the p value is more than 0.05 if you do reject a null hypothesis of mean or variable one is the same as the mean of a variable to the null hypothesis is true and 95% confidence. So, the null hypothesis is that a mean of variable one is equal to the mean of variable two to the alternate hypothesis is the mean of variable one is not equal to the mean of variable two. So, our P value is more than 0.0 phi as a feel to feel to reject a null hypothesis. So, we data now hypotheses Which is true to 95% confidence interval. So we say that mean available one is equal to the mean available to P value is 0.925