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

Chamberlain University MATH 225N Week 3 Discussion: Measures of Central Tendency and Variation– Step-By-Step Guide

This guide will demonstrate how to complete the Chamberlain University MATH 225N Week 3 Discussion: Measures of Central Tendency and Variation   assignment based on general principles of academic writing. Here, we will show you the A, B, Cs of completing an academic paper, irrespective of the instructions. After guiding you through what to do, the guide will leave one or two sample essays at the end to highlight the various sections discussed below.

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Whether one passes or fails an academic assignment such as the Chamberlain University MATH 225N Week 3 Discussion: Measures of Central Tendency and Variation  depends on the preparation done beforehand. The first thing to do once you receive an assignment is to quickly skim through the requirements. Once that is done, start going through the instructions one by one to clearly understand what the instructor wants. The most important thing here is to understand the required format—whether it is APA, MLA, Chicago, etc.

After understanding the requirements of the paper, the next phase is to gather relevant materials. The first place to start the research process is the weekly resources. Go through the resources provided in the instructions to determine which ones fit the assignment. After reviewing the provided resources, use the university library to search for additional resources. After gathering sufficient and necessary resources, you are now ready to start drafting your paper.

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The introduction for the Chamberlain University MATH 225N Week 3 Discussion: Measures of Central Tendency and Variation  is where you tell the instructor what your paper will encompass. In three to four statements, highlight the important points that will form the basis of your paper. Here, you can include statistics to show the importance of the topic you will be discussing. At the end of the introduction, write a clear purpose statement outlining what exactly will be contained in the paper. This statement will start with “The purpose of this paper…” and then proceed to outline the various sections of the instructions.

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After the introduction, move into the main part of the MATH 225N Week 3 Discussion: Measures of Central Tendency and Variation assignment, which is the body. Given that the paper you will be writing is not experimental, the way you organize the headings and subheadings of your paper is critically important. In some cases, you might have to use more subheadings to properly organize the assignment. The organization will depend on the rubric provided. Carefully examine the rubric, as it will contain all the detailed requirements of the assignment. Sometimes, the rubric will have information that the normal instructions lack.

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After completing the main sections, write the conclusion of your paper. The conclusion is a summary of the main points you made in your paper. However, you need to rewrite the points and not simply copy and paste them. By restating the points from each subheading, you will provide a nuanced overview of the assignment to the reader.

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The very last part of your paper involves listing the sources used in your paper. These sources should be listed in alphabetical order and double-spaced. Additionally, use a hanging indent for each source that appears in this list. Lastly, only the sources cited within the body of the paper should appear here.

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

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.

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Sample Answer 2 for MATH 225N Week 3 Discussion: Measures of Central Tendency and Variation

SHAPES OF DISTRIBUTIONS

The most common shapes of distributions that we encounter and learn about in this course are symmetrical / bell shaped, skewed left, and skewed right.  But there are many other shapes of distributions that you might come across in the online textbook readings such as uniform, bi modal, multi modal, and a few other possible shapes too.  Thanks Friends and best wishes !!  Remember that the direction of the skewness, if there is any noticeable or substantial skewness present at all, is “in the direction of the longer tail” so to speak.  Good Luck Friends !!    🙂

Math 225 Statistics Week 3 slide deck-1.pdf

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

Z-SCORES, UNUSUAL OBSERVATIONS, AND VERY UNUSUAL OBSERVATIONS

We explore potential / possible outliers in a data set using a concept involving the so-called fences in connection with a box and whiskers plot during Week 3.  Concepts such as “unusual observations” and “very unusual observations” are separate from the concept of potential outlier and so I wanted to provide these slides here to try to reinforce what the situation and case is for how we identify and designate “unusual observations” and “very unusual observations” in a set of sample data.  We will study and learn about z-scores in more detail during the upcoming Week 5 of the course.  But we can please start to get acquainted with them here though.  Thanks Friends and Enjoy Week 3 !!    🙂

Sample Answer 4 for MATH 225N Week 3 Discussion: Measures of Central Tendency and Variation

My data set is as follows: 68,73,78,80,85,91,95,99,100,112

This data was collected on my unit at work. The population I collected from were all nurses that I work with ranging in age from 21-37 years-of-age. Fitness level and health also varied. Also, not everyone was doing the same thing, giving a perspective of active versus resting heart rate.

Mean: 88

Median: 88

Mode: N/A; no value appears more than once

Range: 44

Outliers: None. To figure out if there were any outliers in my data set, I utilized the interquartile range formula. This also results in a symmetrical graph of the data.

This data set is a sample of the people I work with, not a whole population. Therefore, the standard deviation is 13.6789.

Being that there were no outliers in my data set either the mean or median would work to measure central tendency of the data. If the data presented had an outlier the better suited measure of central tendency would be the median (Holmes, Illowsky, & Dean, 2017). With the lack of outliers, I chose to plot the data using a box and whisker plot. A box and whisker plot is a visually effective way to plot variations in data that shows all aspects of the data set (What is a Box and Whisker Plot, 2020).

excel week 3 discussion.jpg

Brennaa Sullivan

References:

Holmes, A., Illowsky, B., & Dean, S. (2017). Introductory Business Statistics. OpenStax.

What is a box and Whisker Plot? (2020). American Society for Quality. https://asq.org/quality-resources/box-whisker-plotLinks to an external site.

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.

Sample Answer 5 for MATH 225N Week 3 Discussion: Measures of Central Tendency and Variation

Read/review the following resources for this activity:

• OpenStax Textbook: Chapter 2
• Lesson
• Chamberlain University Library
• Internet

Scenario/Summary

This week’s lab highlights the use of graphics, distributions, and tables to summarize and interpret data.

Follow the directions below to find one of the given academic articles from the Chamberlain library and then use that to describe the graphs and tables included. Further, you will describe other ways that the same data could be presented.

Deliverables

The deliverable is a Word document with your answers to the questions posed below based on the article you find.

Required Software

• Microsoft Word
• Internet access to read articles

Steps to Complete Week 3 Lab

PART 1:

Step 1: For our first broad-based search, choose one of the articles listed below that interests you.  Use the underlined words in your chosen article to search and see how many articles from the Pro-Quest Nursing database contain these underlined words (see the example below the article list)

Article Titles (choose one!)

7. Oral manifestations in diabetic patients under treatment for ischemic heart diseases: A comparative observational study
8. Systolic blood pressure , diastolic blood pressure, and pulse pressure: An evaluation of their joint effect on mortality
9. The Relationship Between Body Mass Index (BMI) and Menstrual Disorders at Different Ages of Menarche and Sex Hormones
10. Adolescents’ first tobacco products: Associations with current multiple tobacco product use
11. Association of lifestyle modification and pharmacological adherence on blood pressure control among patients with hypertension at Kenyatta National Hospital, Kenya: A cross-sectional study
12. Demographic, parental, and personal factors and youth athletes’ concussion -related knowledge and beliefs
13. Nutrition-related information-seeking behaviors of women trying to conceiveand pregnant women: evidence for the life course perspective.
14. Efficiency and optimal size of hospitals: Results of a systematic search
15. Long working hours, sleep-related problems, and near-misses/injuries in industrial settings using a nationally representative sample of workers in Japan
16. Demographic Characteristics of RNand Generic Students: Implications for Curriculum
17. Clinical Characteristics of Diabetic Ketoacidosis in Childrenwith Newly Diagnosed Type 1 Diabetes in Addis Ababa, Ethiopia: A Cross-Sectional Study
18. Using Computerized Adaptive Testingto Reduce the Burden of Mental Health Assessment

Step 2: Go to the Chamberlain Library at https://library.chamberlain.edu (Links to an external site.) 

Step 3: Click on the ProQuest Nursing link under the search box.

Step 4: Type the underlined words from the article that you chose into the first search bar. Checkmark Full Text, Peer Reviewed, and choose Last 12 Months from the drop down list.  Last, choose English Language under the language section.

Step 5: Choose Search to see how many articles in the ProQuest database have those words.

Step 6: Post a screenshot of your search results (topic and the number of articles containing your search terms) to the top of a Word document [see Step 5 above]. Below the screenshot, answer the following questions:

On your search:

1. What terms did you use?
2. What other things did you mark on the search page before conducting your search?

    C.Why did you choose the key words that you did?

1. How many articles were found with these search terms [from screenshot]?

Part 2:

Step 1: For our second more narrow search, go back and search using THE ENTIRE TITLE of the article you used the key words from in your first search.  Paste the ENTIRE title into the search bar and find the full article [Do NOT checkmark anything to narrow your search this time!].

Step 2: Find a frequency table and/or graph within the article and post a screen shot in your Word document.

Example:

       Frequency Distribution      OR            Graph

Step 3: Answer the following questions about your table and/or graph:

1. What typeof study is used in the article (quantitative or qualitative)?
2. What type of graph or table did you choose for your lab? What characteristics make it this type?
3. Describe the data displayed in your frequency distribution or graph (consider class size, class width,             total frequency, list of frequencies, class consistency, etc)
4.   D. Draw a conclusionabout the data from the graph or frequency distribution you chose.
5. How else might this data have been displayed? Discuss pros and cons of 2 other presentation                     options, such as tables or different graphical displays.
6. Give the full APA referenceof the article you are using for this lab.

Step 5: Be sure your name is on the Word document, save it, and then submit it under “Assignments” and “Week 3: Lab”.

Grading

This activity will be graded based on the Week 3 Lab Rubric.

Edited by Christopher Smith on Jan 18, 2021 at 6:38am

Week 3 lab THIS is the TEMPLATE that you please use Math 225 Jan Feb 2021.docx