Hello in this section we are going to learn how to verify to all important part in the statistical analysis
the part or the Samphan of normality.
And they are Typhon of absence of outliers.
In this lecture we will see how to perform the SHAPIRO We are normality test the data crame I'm going
to use the same D-Mo. and I'm going to verify whether the variable income is normally distributed or
not.
You are then the Shapiro will test to that effect.
I must Thuram the Shapiro or test function.
This pamphlet is included in this package which is loaded by default.
When you start.
So we don't have to load it using the Ponson require the argument of this function Shafie or test it.
Of course our variable income from the data crame DMA.
So it's very simple.
Let's run the test.
And here in the console we have the result that the value of story of the Shapiro we are test is zero
point forty eight.
And they said the big value which is clearly lower than zero point zero of 5 or lower than zero point
zero or 1.
Now that the p value is higher than 5 percent we accept the null hypothesis and say that the variable
is normally distributed.
And if the p value is lower than 5 percent we reject the null hypothesis and say that the variable is
not normally distributed.
That says here the p value is lower than 5 percent.
We reject the null hypothesis and we can prove that the variable income is not normally distributed.
So it's very straightforward.
That's all over.
SHAPIRO We have normality to ask.
Thank you.