Question

Denis said:

Too cold up here...
​

Click to expand...

Sorry to hear that.

PSG said:

\(\displaystyle
42 \ \ 43 \ \ 46 \ \ 46 \ \ 47 \ \ 47 \ \ 48 \ \ 49 \ \ 49 \ \ 50 \ \ 50 \ \ 51 \ \ 51 \ \ 51 \ \ 51 \ \ 52 \ \ 52 \ \ 54 \ \ 54 \ \ 54 \ \ 54 \ \ 54 \)
\(\displaystyle 55 \ \ 55 \ \ 55 \ \ 55 \ \ 56 \ \ 56 \ \ 56 \ \ 56 \ \ 57 \ \ 57 \ \ 57 \ \ 57 \ \ 58 \ \ 60 \ \ 61 \ \ 61 \ \ 61 \ \ 62 \ \ 64 \ \ 65 \ \ 68 \ \ 69\)





I have input my numbers in and the Quartiles for Q3 was 57.5 and Q1 was 50.5..
So I did the lower and upper fence. The lower I got 50.5-1.5(7) I got 40 upper
I got 68... Now my question is the outlier is 40..But when I hit ZOOM 9
(On my Boxplot), the mark shows under 68 not 40.. Isn't the mark the outlier?​

​

Click to expand...

It was relatively difficult for me to understand your post,
because not all of your statements were complete/separate sentences.

I don't know what the "mark" means regarding your boxplot.

For others reading this, I would state that the interquartile range (IQR)
is equal to Q3 - Q1. And an lower outlier is a data value that is equal to or
less than Q1 - 1.5*(IQR), and an upper outlier is a data value that is
equal to or greater than Q3 + 1.5*(IQR).

Then, a lower outlier is at 40 or below. But there are no data values
in your list at 40 or below.

And, any upper outliers using this method are at 68 or above.
The data values of 68 and 69 are the last two in your list.

Then, there are two outliers in total for that set of data. They are
68 and 69.

Again, I don't know what the "mark" on your boxplot refers to.

I can't understand what he posted?