PPT-QUANTITATIVE DATA chapter 4

NUMERICAL Dotplots Dot plots work well for relatively small data sets 50 or less Slide 4 3 Whats wrong with this picture Too much data for a dot plot The histogram works much . Assessment Committee 2009. Division of Campus Life, Emory University. What is quantitative data analysis?. Types of quantitative data used in assessment. Descriptive statistics. Utilizing Microsoft Excel. MA 103. Gerald Kruse and David Drews. Juniata College. Huntingdon, PA. kruse@juniata.edu. drews@juniata.edu. Outline of Status Report/Mentoring Session. History. Experimental Design. Data. Tentative. By Idris Fabio Augustus Crockett-Magee. &. Sam Brill. What is Quantitative Easing?. Quantitative . E. asing (QE) is a policy used by the Bank of England introduced in March 2009. . This is a Monetary policy used when the interest rate can not go any lower (0.5%).. Dr. Andrea . Abbas. . aabbas@lincoln.ac.uk. Dr Julian . Beckton. jbeckton@lincoln.ac.uk. Aims of Session. To consider what counts as acceptable qualitative and quantitative research in different disciplines (similarities and differences) and reflect on how you currently position yourselves. Slide #. 1. Bivariate EDA. Describe the . relationship between pairs of . variables. Four characteristics to describe. Association (Direction). Form. Outliers. Strength. Quantitative Bivariate EDA. Slide #. Teaching . Probability and Decision Theory in . Foundations . of Logical . Reasoning. Quantitative Literacy in Philosophy. [. Quantitative literacy] requires logic, data analysis, and probability….It enables individuals to analyze evidence, to read graphs, to understand logical arguments, to detect logical fallacies, to understand evidence, and to evaluate risks. Quantitative literacy means knowing how to reason and how to think. . Qua. n. titative and qualitative data. Questionnaires can gather both sets of data, as can interviews.. This is called a mixed method. Some research only used one type of data. Qua. n. titative: Involve . by Alyssa Webb. Data can come in many different types but it useless without it’s context.. Not all data represented by numbers is numerical. (ex: 1=boy, 2=girl). Who, What, When, Where, Why, and How? provides context for data.. Empirical Qualitative Research. Approaches to . Empirical Qualitative Research. Natural . observation. Participant . observation. In . person interviews . (in-depth and focused). Group . interviews. Empirical Qualitative Research. Kim Unger – Fall 2017. About me. Senior Analytics Consultant, DataBrains. Former SSEF, ISEF, STS Finalist. Science Fair Judge (regional, SSEF, ISEF). Data Visualization is my day-to-day job. kunger@databrains.com. Histograms. Bins. – equal width “piles” that we use to divide up quantitative data. The bins and the counts in each bin give the . distribution. of the quantitative variable. Enron Corporation . Stanley Pogrow. stanpogrow@att.net. Professor of Educational Leadership and Equity at San Francisco State University, Professor Emeritus at the University of Arizona, and visiting endowed chairs at USC and Seattle University. . Section 1.2. Displaying Quantitative Data with Graphs. After this section, you should be able to…. CONSTRUCT and INTERPRET dotplots, stemplots, and histograms. DESCRIBE the shape of a distribution. Quantitative or Qualitative?. John’s reaction time with 10 hours’ sleep averaged0.21 seconds; with 6 hours’ sleep it was 0.28 seconds.. Jenny gave a detailed account of her relationship with each of her children or.