# MATH 225N Week 1 Discussion: Basic Statistics Data Used In Everyday Life

## MATH 225N Week 1 Discussion: Basic Statistics Data Used in Everyday Life

MATH 225N Week 1 Discussion: Basic Statistics Data Used in Everyday Life

For grading purposes, this particular discussion posting area runs from Sunday Jan 3 through Sunday Jan 10, inclusively.

We explore Descriptive Statistics and the fundamentals of sampling techniques and quantitative research and research design this Week. This includes data, experimental design, so-called descriptive statistics, distributions, graphs and graphical displays, and measures of central tendency, variation, and position. At a somewhat basic and introductory level, we sometimes try to describe distributions using concepts of “shape, center, and spread.” Central tendency refers to “center” and variation refers to “spread.”

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 ) .    🙂

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Please check out the link below to see some of the key similarities and key differences between Bar Plots / Graphs / Charts and Histograms.

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  CSmith10@chamberlain.edu

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

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

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### MY TAKE ON SAMPLING TECHNIQUES

I would say that in an introductory course at this level that we briefly look at 6 methods of data collection and that among researchers and scholars 5 of them are considered to be sampling techniques but I think it is appropriate to mention the 6th method of data collection in this same breath anyway.

In our online text book on pages 16-17 the authors discuss simple random sampling, stratified sampling, cluster sampling, systematic sampling, and convenience sampling.

Convenience sampling is bar far the weakest of all these methods and leads to the greatest potential and opportunities for various forms of statistical bias in the resulting sample.  So in real life practice, convenience sampling should be avoided at all costs, and simple random sampling is often thought of as a bit of a “gold standard” in statistics and quantitative research.  But I can see or visualize in real life practice why once in a while that stratified sampling might be a pretty good idea and approach, so to speak, for example.

The 6th form of data collection that I want to mention here is a census.  The reason that a census is different from the 5 types of sampling mentioned above is that a census literally is “everyone” while the other 5 forms of data collection above definitely involve “less than everyone.”

Please see the following slides to see some pictures of some of these sampling techniques.

Please feel free to look around in the online text book and on the internet at large to see info about what a census is and to Post about it in one of your Week One Posts.

Thanks Friends and Best Wishes !!

🙂

### Reference:

Holmes, A., Illowsky, B., & Dean, S.  ( 2018 ).  Introductory business statistics.  OpenStax.

😉

Edited by Christopher Smith on Jan 4, 2021 at 8:02amintroductory-business-statistics-35.6.pdf

### MY TAKE ON RESEARCH AND RESEARCH METHODS

Sometimes when Folks talk about “research methods” part of what they are talking about is “the organization of the study.”  But there is much more to it than that and the “organization of the study” “issue” is not addressed much in the slides that follow here but it is addressed a little bit.  As you go on to take additional and more advanced and more detailed courses in quantitative research and data analysis and statistics and probability, knowing and understanding “the organization of the study” will become more and more important to you being able to understand and follow the types of things that you will be studying and learning about in those future courses.

So in this course you are not held very accountable for what is on many of the slides that follow here, but on the other hand understanding some of what is on the slides that follow here will help your overall understanding and comfort and confidence during this course here.

For example in this course here, it is very important to understand the difference between a sample and a population.  It is also very important to understand the difference between a statistic and a parameter.

Thanks Friends and the slides that follow here should give you a reasonable basis and foundation for approaching the upcoming Weeks 2-8 of the course.

Thanks and Best Wishes Friends !!