1 Today Summarizing categorical variables Exploring the relationship between categorical variables - contingency table‚ proportions‚ conditional proportions‚ marginal proportions Ch 2‚ Sec 1-2‚ pages 15-29 Summarizing Categorical Variables: Blood Pressure (Exercise 2.37*) 2 A company held a blood pressure screening clinic for its employees. Data below is partial dataset for company employees. Create an appropriate display for blood pressure data among the employees. Blood pressure
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Techniques for Summarizing Quantitative Data frequency histogram A sample of 40 female statistics students were asked how many times they cried in the previous month.Their replies were as follows: Stem-Leaf Plot A natural way to organize (group) quantitative data is with the order property of the real numbers‚ i.e.‚ arrange the data from least to greatest. For example‚ the 30 weights: 185‚ 160‚ 235‚ 165‚ 125‚ 175‚ 185‚ 132‚ 168‚ 112‚ 170‚ 155‚ 105‚ 158‚ 120‚ 190‚ 140
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Worksheet 1: Note Taking From a Journal Article Article to be used here: http://ezproxy.lib.swin.edu.au/login?url=http://onlineres.swin.edu.au/1134781.pdf ------------------------------------------------- Name of Authors: Diane Reay‚ Jacqueline Davies‚ Miriam David‚ Stephen J Ball. ------------------------------------------------- Year of Publication: 2001 ------------------------------------------------- Title of Article: “Choices of Degree or Degrees of Choice? Class‚ `Race’ and the
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Paraphrasing “On the Art of Living with Others” Paragraph one is asking why people don’t get along. It also states that there are no “epics” about real life because people would find it boring. Paragraph two is saying that no two people get along perfectly but it always helps if you put effort into maintaining the relationship. Paragraph three – No two people are the same and don’t assume so because you have a lot in common. Also‚ don’t expect everyone to agree with what you say‚ people will
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Nursing as a discipline: The interrelationships between nursing practice‚ knowledge and research. Article: Reflecting on nurses’ views on using research in practice. Heaslip‚ V.‚ Hewitt-Taylor‚ J. & Rowe‚ N. E. 2012. Reflecting on nurses’ views on using research in practice. British journal of nursing‚ 21‚ 1341-1346. Journal Subset: Double Blind Peer Reviewed; Editorial Board Reviewed; Europe; Expert Peer Reviewed; Nursing; Peer Reviewed; UK & Ireland. Special Interest: Evidence-Based Practice
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Summarizing and Presenting Data Team B: Timothy Sosa‚ Gregory Moreno‚ Janice Cruz QNT/351 March 23‚ 2015 Steve Roussas Summarizing the Data The data collected in the BIMS case study had two major errors. The first error was when the office support staff member made the decision to use “0” if the employee did not answer the question. Two out of the ten questions received a response from each employee who completed the survey. About 17 employees provided a no response in eight of the questions and
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Worksheet Fill in the following tables: Type of Microscopy State of the Cell (live‚ dead‚ both) Limit of General steps for resolution sample preparation/ fixation Advantage of Technique Phase contrast light microscope Amplitude contrast microscope Optical tweezers Fluorescence/ Confocal Microscopy Transmission Electron Microscope (TEM) Scanning Electron Microscope (SEM) Scientist Robert Hooke Antonie van Leeuwenhoek Ernst Karl Abbe Fritz Zernike Shimomura‚ Chalfie‚ and Tsien Ernst Ruska Schleiden
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University of Phoenix Material Credit Protection and Identity Theft Directions Refer to: Building a Better Credit Report on the Federal Trade Commission’s site: www.ftc.gov/bcp/edu/pubs/consumer/credit/cre03.shtm Identity Theft resource center on the Federal Trade Commission’s site: www.ftc.gov/bcp/edu/microsites/idtheft/consumers/deter.html. Provide answers to three of the following questions based on your readings and your personal experiences. Answers should be 100-to
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Introduction | | |AJ DAVIS is a department store chain‚ which has many credit customers and wants to find out more information about these customers. A sample of 50 credit customers is selected with data collected on the following five variables: 1. LOCATION (Rural‚ Urban‚ Suburban) 2. INCOME (in $1‚000 ’s – be careful with this) 3. SIZE (Household Size‚ meaning number of people living in the household) 4. YEARS (the number of years that the customer has lived in the current location)
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Chapter 3 Summarizing Data 0.1 0.2 Introduction...........................................................................Error! Bookmark not defined. A Section Title .......................................................................Error! Bookmark not defined. Demonstration: ............................... Error! Bookmark not defined. Exercises ................................................................................... Error! Bookmark not defined. 0.3 0.4 Chapter Summary .
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