MATH 225N Week 3 Discussion: Measures of Central Tendency and Variation 

MATH 225N Week 3 Discussion: Measures of Central Tendency and Variation

MATH 225N Week 3 Discussion: Measures of Central Tendency and Variation 

For grading purposes, this particular discussion posting area runs from Sunday Jan 17 through Sunday Jan 24, inclusively.

We explore the so-called Normal Distributions this Week. This includes normal probability distributions, the standard normal distribution, the standard normal distribution Table, the concept of continuous distributions, sampling distributions, and the Central Limit Theorem.

Please don’t forget to use an “outside” resource as part of the content and documentation for your first Post – the Post which is due on or before Wednesday of the Week – the Post where you make the most major contribution to the Weekly discussion posting area and attempt to address the discussion prompts / cues for the Week. It could possibly include a web site that you discovered on the internet at large, so long as the web site is relevant and substantial and does not violate the Chamberlain University policy for prohibited web sites, and so forth. It could possibly include references / resources that you discover through making use of the online Chamberlain University Library ( please click Resources along the left and then click Library to discover the link to the Chamberlain University online Library ) .

Check out the link below for some information about the so-called Standard Normal Distribution.  After that page comes up also click on the normal distribution link from that page to see some more useful and relevant information for our Week 3 concerns and COs.

Click here to ORDER an A++ paper from our Verified MASTERS and DOCTORATE WRITERS MATH 225N Week 3 Discussion: Measures of Central Tendency and Variation :

Link (Links to an external site.)Links to an external site.

This is one kind of an example of using an “outside” source / resource to add to what is revealed in our Weekly Lesson in Modules and in our Weekly text book reading.

Please don’t forget to look over the Graded Discussion Posting Rubric each Week to be certain that you are meeting all of the Frequency requirements as well as all of the Quality requirements for graded discussion posting each Week.

If you have any questions about anything, please do not hesitate to post in the Q & A Forum discussion posting area or to send me a direct e-mail message to

Thanks Friends and Good Luck !  Work hard and learn a lot !!

Sincerely,  Mr. Smith     Chamberlain University     Math, Statistics, and Quantitative Research

And here is just an example Post showing you the potential to get Excel output into a graded Post and what it might look like and how it might work.

I will be making a lot of Posts throughout Week 3 showing and demonstrating for you how to do this. But you don’t have to wait for those Posts though if you don’t want to. There is already an 11 minute Video in Media Gallery along the left of the screen which shows you how to do this.

Thanks Friends and Best Wishes and Good Luck too !!

PS    Even though it is a little fuzzy and blurry in the graphic / image here, that z-score is negative.

It is  – 0.8  since 72 – 80 is of course negative.  And then – 8 / 10 of course is  – 0.8

And so I would think that these things in this list here would be graphical displays that you would consider here and pick two of them to propose as alternative methods to display the data.

IMPORTANT:  PLEASE remember that there are probably several “red herrings” here in this list –

Several of these graphical displays are not appropriate for the injuries data set or wait times data set in Week 2 and some of these graphical displays in this list here are not appropriate for the articles and their respective frequency tables that you are considering for this Week 3 lab turn in assignment !!!     

So within the context of all of these cautions and warnings please try hard to do well with the Week 3 lab turn in assignment.

Thanks Friends and Best Wishes and Good Luck too !!

OK so what I did now was to use the same 30 pieces of resting heart rate data and added two “made up” pieces of resting heart rate data ( 53 per minute and 126 per minute I think they were ) and when the program created the box and whiskers plot ( I also told the program to run diagnostics to look for potential outliers ) the program flagged both the 53 per minute and 126 per minute rates as being potential outliers ( indicated by the little blue dots ) .

You all actually had a few homework exercises along these lines where you found cutoffs for potential outliers using    1.5 times IQR    and then seeing if any really low or really high pieces of data ( observations ) fell below the bottom cut off or above the top cut off.  Remember that ??  It was probably a “select all that apply” type “multiple choice” exercise.