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

Week 1 Discussion: Basic Statistics Data Used in Everyday Life 

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Required Resources 

Read/review the following resources for this activity: 

OpenStax Textbook: Chapter 1 
Lesson 1 Reading 
Minimum of 1 scholarly source 

In your reference for this assignment, be sure to include both your text/class materials AND your outside reading(s). 

Initial Post Instructions 

Present two different types of data, or variables, used in the health field. Examples could be blood pressure, temperature, pH, pain rating scales, pulse oximetry, % hematocrit, minute respiration, gender, age, ethnicity, etc. 

Classify each of your variables as qualitative or quantitative and explain why they fall into the category that you chose. 

Also, classify each of the variables as to their level of measurement–nominal, ordinal, interval or ratio–and justify your classifications. 

Which type of sampling could you use to gather your data? (stratified, cluster, systematic, and convenience sampling) 

Follow-Up Post Instructions 

Respond to at least two peers or one peer and the instructor. Further the dialogue by providing more information and clarification. 

Your responses to other students can explain additional analyses that could be done with the variables they selected. Consider confounding variables, discrete or continuous data, the effects of outliers, etc. 

Writing Requirements 

Minimum of 3 posts (1 initial & 2 follow-up) 

APA format for in-text citations and list of references 

Grading 

This activity will be graded using the Discussion Grading Rubric. Please review the following link: 

Link (webpage): Discussion Guidelines 

Course Outcomes (CO): 1, 2 

Due Date for Initial Post: By 11:59 p.m. MT on Wednesday 

Due Date for Follow-Up Posts: By 11:59 p.m. MT on Sunday 

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Christopher Smith 

Christopher Smith 

Nov 25, 2020Nov 25, 2020 at 8:47am 

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Greetings Class Members !! 

  

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 ) .    ???? 

  

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

  

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  CSmith10@chamberlain.edu 

  

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

  

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

  

CSmith10@chamberlain.edu 

  

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Christopher Smith 

Christopher Smith 

Jan 4, 2021Jan 4, 2021 at 7:36am 

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Evidence, Claims, and Study Types 

Tutorial and Demonstration Video 

Knewton Homework Assignment 

“Short and Sweet” Version 

 

 

Christopher Smith 

Christopher Smith 

Jan 4, 2021Jan 4, 2021 at 7:38am 

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Variables and Measures of Data 

Tutorial and Demonstration Video 

Knewton Homework Assignment 

“Short and Sweet” Version 

 

 

Christopher Smith 

Christopher Smith 

Jan 4, 2021Jan 4, 2021 at 7:40am 

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Sampling Methods 

Tutorial and Demonstration Video 

Knewton Homework Assignment 

“Short and Sweet” Version 

 

 

Christopher Smith 

Christopher Smith 

Jan 4, 2021Jan 4, 2021 at 7:42am 

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Comparing Sampling Methods 

Tutorial and Demonstration Video 

Knewton Homework Assignment 

“Short and Sweet” Version 

 

 

Collapse SubdiscussionChristopher Smith 

Christopher Smith 

Jan 4, 2021Jan 4, 2021 at 7:55am 

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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 !! 

  

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Reference: 

  

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

  

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Edited by Christopher Smith on Jan 4, 2021 at 8:02am 

introductory-business-statistics-35.6.pdf 

 

 

Christopher Smith 

Christopher Smith 

Jan 4, 2021Jan 4, 2021 at 8:10am 

Manage Discussion Entry 

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